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  <title>Track Awesome Network Analysis Updates Weekly</title>
  <id>https://www.trackawesomelist.com/briatte/awesome-network-analysis/week/feed.xml</id>
  <updated>2026-04-06T03:37:54.783Z</updated>
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  <icon>https://www.trackawesomelist.com/favicon.ico</icon>
  <logo>https://www.trackawesomelist.com/icon.png</logo>
  <subtitle>A curated list of awesome network analysis resources.</subtitle>
  <entry>
    <id>https://www.trackawesomelist.com/2026/15/</id>
    <title>Awesome Network Analysis Updates on Apr 13 - Apr 19, 2026</title>
    <updated>2026-04-06T03:37:54.783Z</updated>
    <published>2026-04-06T03:37:54.783Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Software-specific</p>
</h3>
<ul>
<li><em><a href="https://schochastics.github.io/R4SNA/" rel="noopener noreferrer">R for Social Network Analysis</a></em> (R4SNA), by Termeh Shafie and David Schoch (work in progress).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2026/15/"/>
    <summary>1 awesome projects updated on Apr 13 - Apr 19, 2026</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2026/14/</id>
    <title>Awesome Network Analysis Updates on Apr 06 - Apr 12, 2026</title>
    <updated>2026-04-03T13:37:32.415Z</updated>
    <published>2026-04-03T13:37:32.201Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="https://nerds.itu.dk/" rel="noopener noreferrer">Networks, Data, and Society (NERDS)</a> - Research group at IT University of Copenhagen.</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://osome.iu.edu/" rel="noopener noreferrer">OSoMe</a> - Observatory on Social Media, an interdisciplinary research center at Indiana University, with tools to browse current and past social media posts.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2026/14/"/>
    <summary>2 awesome projects updated on Apr 06 - Apr 12, 2026</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2026/6/</id>
    <title>Awesome Network Analysis Updates on Feb 09 - Feb 15, 2026</title>
    <updated>2026-02-08T09:12:21.188Z</updated>
    <published>2026-02-08T09:12:21.188Z</published>
    <content type="html"><![CDATA[<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://web.archive.org/web/20171215013948/https://statnet.org/trac/raw-attachment/wiki/Resources/glossary.pdf" rel="noopener noreferrer">Glossary of Terms for Statistical Network Models</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2026/6/"/>
    <summary>1 awesome projects updated on Feb 09 - Feb 15, 2026</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2025/30/</id>
    <title>Awesome Network Analysis Updates on Jul 28 - Aug 03, 2025</title>
    <updated>2025-07-25T02:29:19.981Z</updated>
    <published>2025-07-25T02:29:19.981Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="https://www.transcript-verlag.de/978-3-8376-2742-8/knoten-und-kanten-iii" rel="noopener noreferrer">Knoten und Kanten III. Soziale Netzwerkanalyse in Geschichts- und Politikforschung</a></em>, edited by Markus Gamper, Linda Reschke and Marten Düring, in German and English (2015).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2025/30/"/>
    <summary>1 awesome projects updated on Jul 28 - Aug 03, 2025</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2025/9/</id>
    <title>Awesome Network Analysis Updates on Mar 03 - Mar 09, 2025</title>
    <updated>2025-02-25T01:56:08.566Z</updated>
    <published>2025-02-25T01:56:08.566Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://github.com/sknetwork-team/scikit-network" rel="noopener noreferrer">Scikit-network (⭐632)</a> - Open-source library for machine learning on graphs.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2025/9/"/>
    <summary>1 awesome projects updated on Mar 03 - Mar 09, 2025</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2025/7/</id>
    <title>Awesome Network Analysis Updates on Feb 17 - Feb 23, 2025</title>
    <updated>2025-02-11T12:50:58.992Z</updated>
    <published>2025-02-11T12:50:58.992Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://www.pathpy.net/" rel="noopener noreferrer">pathpy</a> - Analysis of time series data on networks using higher-order and multi-order graphical models.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2025/7/"/>
    <summary>1 awesome projects updated on Feb 17 - Feb 23, 2025</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2024/46/</id>
    <title>Awesome Network Analysis Updates on Nov 11 - Nov 17, 2024</title>
    <updated>2024-11-12T12:56:07.448Z</updated>
    <published>2024-11-12T12:56:07.448Z</published>
    <content type="html"><![CDATA[<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://github.com/benyamindsmith/ig.degree.betweenness/" rel="noopener noreferrer">ig.degree.betweenness (⭐39)</a> - an igraph implementation of the <a href="https://arxiv.org/abs/2411.01394" rel="noopener noreferrer">Smith-Pittman</a> community detection algorithm (2024).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2024/46/"/>
    <summary>1 awesome projects updated on Nov 11 - Nov 17, 2024</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2024/39/</id>
    <title>Awesome Network Analysis Updates on Sep 23 - Sep 29, 2024</title>
    <updated>2024-09-26T01:53:26.729Z</updated>
    <published>2024-09-26T01:53:26.729Z</published>
    <content type="html"><![CDATA[<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="https://www.networkatlas.eu/" rel="noopener noreferrer">The Atlas for the Aspiring Network Scientist</a></em>, by Michele Coscia (2021).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2024/39/"/>
    <summary>1 awesome projects updated on Sep 23 - Sep 29, 2024</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2024/27/</id>
    <title>Awesome Network Analysis Updates on Jul 01 - Jul 07, 2024</title>
    <updated>2024-07-07T08:53:07.999Z</updated>
    <published>2024-07-07T08:53:07.196Z</published>
    <content type="html"><![CDATA[<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="https://olizardo.github.io/networks-textbook/" rel="noopener noreferrer">Social Networks. An Introduction</a></em>, by Omar Lizardo and Isaac Jilbert - free to read online (2023).</li>
</ul>
<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="https://cran.r-project.org/package=igraphwalshdata" rel="noopener noreferrer">igraphwalshdata</a> - Another R data-centric package.</li>
</ul>

<ul>
<li><a href="https://snap.stanford.edu/data/index.html" rel="noopener noreferrer">Stanford Large Network Dataset Collection</a>.</li>
</ul>
<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="https://snap.stanford.edu/" rel="noopener noreferrer">Stanford Network Analysis Project</a>, by <a href="https://cs.stanford.edu/~jure/" rel="noopener noreferrer">Jure Leskovec</a>.</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://github.com/rapidsai/cugraph" rel="noopener noreferrer">RAPIDS cuGraph (⭐2.2k)</a> - Python packages and C/C++/CUDA libraries focused on GPU-accelerated graph analytics.</li>
</ul>

<ul>
<li><a href="https://erivlis.github.io/graphinate/" rel="noopener noreferrer">Graphinate</a> - Python package aimed at generating graphs from data sources, built on top of <code>networkx</code>.</li>
</ul>

<ul>
<li><a href="https://github.com/rraadd88/parag" rel="noopener noreferrer">parag (⭐3)</a> - Interactive visualization of higher-order graphs in Python.</li>
</ul>

<ul>
<li><a href="https://github.com/Qiskit/rustworkx" rel="noopener noreferrer">rustworkx (⭐1.6k)</a> - A high performance Python graph library implemented in Rust.</li>
</ul>
<h3><p>Software / Tutorials</p>
</h3>
<ul>
<li><a href="https://github.com/schochastics/centrality" rel="noopener noreferrer">A tutorial for network centrality in R (⭐2)</a> (2023).</li>
</ul>

<ul>
<li><a href="https://mr.schochastics.net/material/tidynetAnaR/" rel="noopener noreferrer">Tidy Network Analysis in R using the tidygraph package</a> (2022).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2024/27/"/>
    <summary>10 awesome projects updated on Jul 01 - Jul 07, 2024</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2023/28/</id>
    <title>Awesome Network Analysis Updates on Jul 10 - Jul 16, 2023</title>
    <updated>2023-07-14T12:47:20.160Z</updated>
    <published>2023-07-14T12:47:19.225Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://www.routledge.com/Conducting-Personal-Network-Research-A-Practical-Guide/McCarty-Lubbers-Vacca-Molina/p/book/9781462538386" rel="noopener noreferrer">Conducting Personal Network Research: A Practical Guide</a></em>, by Christopher McCarty <em>et al.</em> (2019).<ul>
<li><em><a href="https://raffaelevacca.github.io/egocentric-r-book/" rel="noopener noreferrer">Egocentric Network Analysis with R</a></em> - An online book/tutorial that covers a lot of similar ground.</li>
</ul>
</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://cran.r-project.org/package=multigraph" rel="noopener noreferrer">multigraph</a> - Functions to build and visualize all sorts of multigraphs.</li>
</ul>

<ul>
<li><a href="https://cran.r-project.org/package=multigraphr" rel="noopener noreferrer">multigraphr</a> - Random multigraph models, statistics of multigraph properties, and goodness of fit tests.</li>
</ul>

<ul>
<li><a href="https://cran.r-project.org/package=multinets" rel="noopener noreferrer">multinets</a> - Package to handle multilevel networks in <code>igraph</code>.</li>
</ul>

<ul>
<li><a href="http://signnet.schochastics.net/" rel="noopener noreferrer">signnet</a> Methods to analyse signed networks (structural balance, blockmodeling, centrality, etc.).</li>
</ul>
<h3><p>Software / Tutorials</p>
</h3>
<ul>
<li><a href="https://mr.schochastics.net/material/netAnaR/" rel="noopener noreferrer">Basic Network Analysis in R using igraph and related packages</a> (2022).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2023/28/"/>
    <summary>6 awesome projects updated on Jul 10 - Jul 16, 2023</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2023/27/</id>
    <title>Awesome Network Analysis Updates on Jul 03 - Jul 09, 2023</title>
    <updated>2023-07-08T02:05:26.186Z</updated>
    <published>2023-07-05T02:05:00.383Z</published>
    <content type="html"><![CDATA[<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://github.com/schochastics/edgebundle" rel="noopener noreferrer">edgebundle (⭐136)</a> - Edge bundling algorithms, useful to e.g. draw networks of transport maps.</li>
</ul>

<ul>
<li><a href="https://mbojan.github.io/netseg/" rel="noopener noreferrer">netseg</a> - Various measures of network segregation and homophily.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2023/27/"/>
    <summary>2 awesome projects updated on Jul 03 - Jul 09, 2023</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2023/26/</id>
    <title>Awesome Network Analysis Updates on Jun 26 - Jul 02, 2023</title>
    <updated>2023-07-01T02:11:33.468Z</updated>
    <published>2023-06-29T02:01:39.746Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://gephi.org/" rel="noopener noreferrer">Gephi</a> - Cross-platform, free and open source tool for network visualization.<ul>
<li><a href="https://seinecle.github.io/gephi-tutorials/" rel="noopener noreferrer">Clément Levallois’ Gephi Tutorials</a>.</li>
<li><a href="http://www.podcampus.de/nodes/RJVZo" rel="noopener noreferrer">Geographische Netzwerkvisualisierung mit dem Programm ‘Gephi’</a>, in German (2016).</li>
<li><a href="http://www.martingrandjean.ch/gephi-introduction/" rel="noopener noreferrer">Introduction to Network Analysis and Visualization with Gephi</a> (2015).</li>
<li><a href="http://derekgreene.com/gephitutorial/" rel="noopener noreferrer">Practical Social Network Analysis With Gephi</a> (2014).</li>
</ul>
</li>
</ul>
<h3><p>Software / Java</p>
</h3>
<ul>
<li><a href="https://github.com/gephi/graphstore" rel="noopener noreferrer">GraphStore (⭐82)</a> - In-memory graph structure implementation, powering Gephi.</li>
</ul>
<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://github.com/gephi/gephi-lite" rel="noopener noreferrer">Gephi Lite (⭐315)</a> - Web-based, lighter version of Gephi.</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://www.raphtory.com/" rel="noopener noreferrer">Raphtory</a> - A platform for building and analysing temporal networks.</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://github.com/schochastics/netUtils" rel="noopener noreferrer">netUtils (⭐14)</a> - Various network functions and methods, e.g. computing the Cartesian product of two graphs or fitting a discrete core periphery model.</li>
</ul>
<h3><p>Software / Syntaxes</p>
</h3>
<ul>
<li><a href="https://gexf.net" rel="noopener noreferrer">GEXF</a> - File format used by the Gephi software.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2023/26/"/>
    <summary>6 awesome projects updated on Jun 26 - Jul 02, 2023</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2023/21/</id>
    <title>Awesome Network Analysis Updates on May 22 - May 28, 2023</title>
    <updated>2023-05-26T06:02:24.747Z</updated>
    <published>2023-05-26T06:02:23.858Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://networks.quantecon.org/" rel="noopener noreferrer">Economic Networks: Theory and Computation</a></em>, by John Stachurski and Thomas J. Sargent (2022).</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://cran.r-project.org/package=mlergm" rel="noopener noreferrer">mlergm</a> - Multilevel Exponential-Family Random Graph Models, to model nodes nested within known blocks.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2023/21/"/>
    <summary>2 awesome projects updated on May 22 - May 28, 2023</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2023/17/</id>
    <title>Awesome Network Analysis Updates on Apr 24 - Apr 30, 2023</title>
    <updated>2023-04-27T12:39:37.511Z</updated>
    <published>2023-04-27T01:42:17.239Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Dissemination</p>
</h3>
<ul>
<li><em><a href="https://barabasi.com/book/linked" rel="noopener noreferrer">Linked: The New Science of Networks</a></em>, by Albert-László Barabási (2002).</li>
</ul>
<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="https://hal.science/hal-04052709" rel="noopener noreferrer">L'analyse de réseau en sciences sociales. Petit guide pratique</a></em>, by Laurent Beauguitte, in French (2023). <a href="https://beauguitte.github.io/analyse-de-reseau-en-shs/" rel="noopener noreferrer">Readable online</a>.</li>
</ul>

<ul>
<li><em><a href="https://www.cambridge.org/us/academic/subjects/physics/statistical-physics/first-course-network-science" rel="noopener noreferrer">A First Course in Network Science</a></em>, by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - Tutorials, datasets and other resouces <a href="https://github.com/CambridgeUniversityPress/FirstCourseNetworkScience" rel="noopener noreferrer">on GitHub (⭐427)</a> (2020).</li>
</ul>

<ul>
<li><em><a href="https://www.cs.cornell.edu/home/kleinber/networks-book/" rel="noopener noreferrer">Networks, Crowds, and Markets: Reasoning About a Highly Connected World</a></em>, by David Easley and Jon Kleinberg - Full pre-publication draft (<a href="http://bactra.org/reviews/networks-crowds-markets.html" rel="noopener noreferrer">review</a>; 2010).</li>
</ul>

<ul>
<li><em><a href="https://methods.sagepub.com/book/the-sage-handbook-of-social-network-analysis" rel="noopener noreferrer">The SAGE Handbook of Social Network Analysis</a></em>, edited by John Scott and Peter J. Carrington (2011).</li>
</ul>

<ul>
<li><em><a href="https://press.princeton.edu/books/paperback/9780691148205/social-and-economic-networks" rel="noopener noreferrer">Social and Economic Networks</a></em>, by Matthew O. Jackson (2008).</li>
</ul>

<ul>
<li><em><a href="https://www.wiley.com/en-gb/Social+Network+Analysis+with+Applications-p-9781118169476" rel="noopener noreferrer">Social Network Analysis with Applications</a></em>, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).</li>
</ul>
<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="https://www.cambridge.org/highereducation/books/inferential-network-analysis/A7797D36A24647AA1F900CE7EF694C7E" rel="noopener noreferrer">Inferential Network Analysis</a></em>, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (2020).</li>
</ul>

<ul>
<li><em><a href="https://www.cambridge.org/core/books/multimodal-political-networks/43EE8C192A1B0DCD65B4D9B9A7842128" rel="noopener noreferrer">Multimodal Political Networks</a></em>, by David Knoke, Mario Diani, James Hollway and Dimitri Christopulos (2021).</li>
</ul>

<ul>
<li><em><a href="https://www.wiley.com/en-gb/Understanding+Large+Temporal+Networks+and+Spatial+Networks%3A+Exploration%2C+Pattern+Searching%2C+Visualization+and+Network+Evolution-p-9780470714522" rel="noopener noreferrer">Understanding Large Temporal Networks and Spatial Networks</a></em>, by Vladimir Batagelj <em>et al.</em> (2014).</li>
</ul>
<h3><p>Courses / Topic-specific</p>
</h3>
<ul>
<li><a href="http://cazabetremy.fr/Teaching/ComplexNetworks.html" rel="noopener noreferrer">Complex Networks</a>, by Rémy Cazabet (University Lyon 1 and ENS Lyon, 2022).<ul>
<li><a href="https://github.com/Yquetzal/NetworkScience_CheatSheets" rel="noopener noreferrer">Network Science CheatSheets (⭐27)</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://sites.google.com/a/yale.edu/462-562-graphs-and-networks/" rel="noopener noreferrer">Graphs and Networks</a>, by Dan Spielman (Yale University, 2013).</li>
</ul>

<ul>
<li><a href="https://aaronclauset.github.io/courses/5352/" rel="noopener noreferrer">Network Analysis and Modeling (Computer Science)</a>, by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2022).</li>
</ul>
<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="https://github.com/hetio/hetionet" rel="noopener noreferrer">Hetionet: an integrative network of disease (⭐350)</a> - A complex biological network, available in multiple formats, including JSON and <a href="https://neo4j.het.io/browser/" rel="noopener noreferrer">Neo4j</a>.</li>
</ul>

<ul>
<li><a href="https://manliodedomenico.com/data.php" rel="noopener noreferrer">Manlio De Domenico’s Complex Multilayer Networks</a>.</li>
</ul>

<ul>
<li><a href="https://ippsr.msu.edu/public-policy/state-networks" rel="noopener noreferrer">State Networks</a> - US state-to-state relational variables, including borders, travel, trade and more.</li>
</ul>

<ul>
<li><a href="https://www.icpsr.umich.edu/web/ICPSR/studies/36975" rel="noopener noreferrer">UC Berkeley Social Networks Study (UCNets)</a> - Ego-centric data (personal networks) from a five-year panel study.</li>
</ul>
<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6488902" rel="noopener noreferrer">IEEE Transactions on Network Science and Engineering</a></em> (IEEE).</li>
</ul>
<h3><p>Professional Groups / Topic-specific</p>
</h3>
<ul>
<li><a href="https://afs-socio.fr/rt/rt26/" rel="noopener noreferrer">AFS RT 26 “Réseaux sociaux”</a> - Thematic Network of the French Sociological Association (AFS), in French (<a href="https://web.archive.org/web/20160421164221/http://www.cmh.pro.ens.fr/reseaux-sociaux/" rel="noopener noreferrer">old website</a>).</li>
</ul>

<ul>
<li><a href="https://arshs.hypotheses.org/" rel="noopener noreferrer">GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales</a>, in French - Research group based in Paris.</li>
</ul>

<ul>
<li><a href="https://groupefmr.hypotheses.org/" rel="noopener noreferrer">Groupe FMR - Flux, Matrices, Réseaux</a>, in French.</li>
</ul>

<ul>
<li><a href="http://mathematicalsociology.org/" rel="noopener noreferrer">Mathematical Sociology Section of the American Sociological Association (ASA)</a>.</li>
</ul>

<ul>
<li><a href="https://society-of-young-network-scientists.github.io/" rel="noopener noreferrer">Society of Young Network Scientists (SYNS)</a>. Supports early-career network scientists.</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://www.urbancentre.utoronto.ca/researchgroups/netlab.html" rel="noopener noreferrer">NetLab</a> - Research network at the University of Toronto, led by Barry Wellman.</li>
</ul>
<h3><p>Review Articles / Archeological and Historical Networks</p>
</h3>
<ul>
<li><a href="https://doi.org/10.3917/rhmc.522.0088" rel="noopener noreferrer">Analyse de réseaux et histoire</a>, in French (<em>Revue d’histoire moderne et contemporaine</em>, 2005).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.4000/nda.2300" rel="noopener noreferrer">Analyser les réseaux du passé en archéologie et en histoire</a>, in French (<em>Les Nouvelles de l’Archéologie</em>, 2014).</li>
</ul>

<ul>
<li><a href="https://www.martingrandjean.ch/introduction-visualisation-de-donnees-analyse-de-reseau-histoire/" rel="noopener noreferrer">Introduction à la visualisation de données : l’analyse de réseau en histoire</a>, in French (<em>Geschichte und Informatik</em>, 2015).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.5565/rev/redes.416" rel="noopener noreferrer">Introduction : où en est l’analyse de réseaux en histoire ? [Introducción: ¿en qué punto se encuentra el análisis de redes en Historia?]</a>, in French and Spanish (<em>REDES</em>, 2011).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1002/cplx.10054" rel="noopener noreferrer">Networks and History</a> (<em>Complexity</em>, 2002).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1146/annurev-anthro-102313-025901" rel="noopener noreferrer">Networks of Power in Archaeology</a> (<em>Annual Review of Anthropology</em>, 2014).</li>
</ul>

<ul>
<li><a href="https://www.researchgate.net/publication/300723171_Netzwerkanalyse_in_den_Geschichtswissenschaften_Historische_Netzwerkanalyse_als_Methode_fur_die_Erforschung_von_historischen_Prozessen" rel="noopener noreferrer">Netzwerkanalyse in den Geschichtswissenschaften. Historische Netzwerkanalyse als Methode für die Erforschung von historischen Prozessen</a>, in German (<em><a href="https://www.springer.com/de/book/9783531176604" rel="noopener noreferrer">Prozesse. Formen, Dynamiken, Erklärungen</a></em>, 2015).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1007/s10816-012-9133-8" rel="noopener noreferrer">Thinking Through Networks: A Review of Formal Network Methods in Archaeology</a> (<em>Journal of Archaeological Method and Theory</em>, 2013).</li>
</ul>
<h3><p>Review Articles / Bibliographic, Citation and Semantic Networks</p>
</h3>
<ul>
<li><a href="https://doi.org/10.1016/j.joi.2011.08.005" rel="noopener noreferrer">Assessing Impact and Quality from Local Dynamics of Citation Networks</a> (<em>Journal of Informetrics</em>, 2012).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1126/science.1240474" rel="noopener noreferrer">Atypical Combinations and Scientific Impact</a> (<em>Science</em>, 2013).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1007/s11192-012-0940-1" rel="noopener noreferrer">On Bibliographic Networks</a> (<em>Scientometrics</em>, 2013).</li>
</ul>

<ul>
<li><a href="http://www.digitalhumanities.org/dhq/vol/10/2/000255/000255.html" rel="noopener noreferrer">Extracting Citation Networks from Publications in Classics</a> (<em>Digital Humanities Quarterly</em>, 2016).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1007/s11192-007-1680-5" rel="noopener noreferrer">Self-Citations, Co-Authorships and Keywords: A New Approach to Scientists’ Field Mobility?</a> (<em>Scientometrics</em>, 2007).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1142/S0219525913500136" rel="noopener noreferrer">Socio-Semantic Frameworks</a> (<a href="http://camille.roth.free.fr/travaux/roth--sociosemantic-systems-acs-proofs.pdf" rel="noopener noreferrer">preprint</a>; <em>Advances in Complex Systems</em>, 2013).</li>
</ul>

<ul>
<li><a href="https://ssrn.com/abstract=2452614" rel="noopener noreferrer">Socio-Semantic Modeling of Epistemic Communities</a> (APSA, 2014).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1177/0003122415601618" rel="noopener noreferrer">Tradition and Innovation in Scientists’ Research Strategies</a> (<em>Annual Review of Sociology</em>, 2015).</li>
</ul>
<h3><p>Review Articles / Biological, Ecological and Disease Networks</p>
</h3>
<ul>
<li><a href="https://barabasi.com/f/326.pdf" rel="noopener noreferrer">Interactome Networks and Human Disease</a> (<em>Cell</em>, 2011).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1146/annurev-clinpsy-050212-185608" rel="noopener noreferrer">Network Analysis: An Integrative Approach to the Structure of Psychopathology</a> (<em>Annual Review of Clinical Psychology</em>, 2013).</li>
</ul>

<ul>
<li><a href="https://barabasi.com/f/147.pdf" rel="noopener noreferrer">Network Biology: Understanding the Cell’s Functional Organization</a> - Accessible introduction to (cellular) network analysis (<em>Nature Reviews Genetics</em>, 2004).</li>
</ul>

<ul>
<li><a href="https://barabasi.com/f/320.pdf" rel="noopener noreferrer">Network Medicine: A Network-based Approach to Human Disease</a> (<em>Nature Review Genetics</em>, 2011).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1016/0277-9536(85)90269-2" rel="noopener noreferrer">Social Networks and the Spread of Infectious Diseases: the AIDS Example</a> (<em>Social Networks</em>, 1985).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1016/j.pharmthera.2013.01.016" rel="noopener noreferrer">Structure and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery. A Comprehensive Review</a> - Also includes an impressive list of network analysis software (<em>Pharmacology &amp; Therapeutics</em>, 2013).</li>
</ul>
<h3><p>Review Articles / Complex and Multilayer Networks</p>
</h3>
<ul>
<li><a href="https://barabasi.com/f/226.pdf" rel="noopener noreferrer">The Architecture of Complexity</a> - From network theory to complexity theory (<em>IEEE Control Systems Magazine</em>, 2007).</li>
</ul>

<ul>
<li><a href="https://www.science.org/toc/science/325/5939" rel="noopener noreferrer">Complex Systems and Networks</a> (special issue of <em>Science</em>, 2009).</li>
</ul>

<ul>
<li><a href="https://barabasi.com/f/103.pdf" rel="noopener noreferrer">Statistical Mechanics of Complex Networks</a> (<em>Reviews of Modern Physics</em>, 2002).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1137/S003614450342480" rel="noopener noreferrer">The Structure and Function of Complex Networks</a> (<em>SIAM Review</em>, 2003).</li>
</ul>
<h3><p>Review Articles / Ethics of Network Analysis</p>
</h3>
<ul>
<li><a href="https://doi.org/10.1111/j.1467-8551.2012.00835.x" rel="noopener noreferrer">A Cautionary Note on Data Inputs and Visual Outputs in Social Network Analysis (SNA)</a> (<a href="https://lra.le.ac.uk/bitstream/2381/36068/2/Draft%20BJM%20Revised%20(3rd%20iteration)%20Manuscript.pdf" rel="noopener noreferrer">preprint</a>; <em>British Journal of Management</em>, 2014).</li>
</ul>

<ul>
<li><a href="https://www.sciencedirect.com/journal/social-networks/vol/27/issue/2" rel="noopener noreferrer">Ethical Dilemmas in Social Network Research</a> (special issue of <em>Social Networks</em>, 2005).</li>
</ul>
<h3><p>Review Articles / Network Modeling</p>
</h3>
<ul>
<li><a href="https://doi.org/10.1016/j.socnet.2009.02.004" rel="noopener noreferrer">Introduction to Stochastic Actor-Based Models for Network Dynamics</a> (<a href="http://www.stats.ox.ac.uk/~snijders/SnijdersSteglichVdBunt2009.pdf" rel="noopener noreferrer">preprint</a>; <em>Social Networks</em>, 2010).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1111/ajps.12263" rel="noopener noreferrer">Navigating the Range of Statistical Tools for Inferential Network Analysis</a> (<em>American Journal of Political Science</em>, 2017).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.4000/msh.2750" rel="noopener noreferrer">Social Network Evolution and Actor Oriented Models</a> (<em>Mathematics &amp; Social Sciences</em>, 1997).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1146/annurev.soc.012809.102709" rel="noopener noreferrer">Statistical Models for Social Networks</a> (<em>Annual Review of Sociology</em>, 2011).</li>
</ul>

<ul>
<li><a href="https://arxiv.org/abs/1411.4070" rel="noopener noreferrer">A Unified View of Generative Models for Networks: Models, Methods, Opportunities, and Challenges</a> (<a href="http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos/watch/201504200944-Jacobs.html" rel="noopener noreferrer">video presentation</a>; <a href="https://nips.cc/Conferences/2014/Schedule?type=Workshop" rel="noopener noreferrer">NIPS 2014 workshop</a> on “<a href="https://410f84824e101297359cc81c78f45c7c079eb26c.googledrive.com/host/0Bz6WHrWac3FrWnA5MjZqb3lWa2c/" rel="noopener noreferrer">Networks: From Graphs to Rich Data</a>”).</li>
</ul>
<h3><p>Review Articles / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://doi.org/10.4000/msh.11969" rel="noopener noreferrer">A propos de la notion de rôle dans l’analyse des relations sociales</a> (<em>Mathématiques et sciences humaines</em>, 2011).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1146/annurev-soc-081309-150054" rel="noopener noreferrer">Brokerage</a> (<em>Annual Review of Sociology</em>, 2012).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1146/annurev.soc.27.1.415" rel="noopener noreferrer">Birds of a Feather: Homophily in Social Networks</a> (<em>Annual Review of Sociology</em>, 2001).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1146/annurev.polisci.12.040907.115949" rel="noopener noreferrer">Network Analysis and Political Science</a> (<em>Annual Review of Political Science</em>, 2011).</li>
</ul>
<h3><p>Selected Papers / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://doi.org/10.1103/PhysRevE.88.012814" rel="noopener noreferrer">Coauthorship and Citation Patterns in the <em>Physical Review</em></a>, by Travis Martin <em>et al.</em> - Highly typical study of scientific publishing productivity and collaboration through temporal network analysis (<a href="https://arxiv.org/abs/1304.0473" rel="noopener noreferrer">preprint</a>; <em>Physical Review E</em>, 2013).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.4000/communicationorganisation.4093" rel="noopener noreferrer">La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne</a>, by Alain Barrat, in French - Accessible introduction to the study of complex networks (<em>Communication &amp; Organisation</em>, 2013).</li>
</ul>

<ul>
<li><a href="https://www.mustafaemirbayer.com/network-analysis-culture-and-the-pr" rel="noopener noreferrer">Network Analysis, Culture, and the Problem of Agency</a>, by Mustafa Emirbayer and Jeff Goodwin (<em>American Journal of Sociology</em>, 1994), and <a href="https://www.mustafaemirbayer.com/copy-3-of-bourdieu" rel="noopener noreferrer">Manifesto for a Relational Sociology</a>, by Mustafa Emirbayer (<em>American Journal of Sociology</em>, 1997) - Sociological foundations for a science of social ties.</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1016/j.socnet.2010.03.006" rel="noopener noreferrer">Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths</a>, by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance measures to (positively) valued graphs (<em>Social Networks</em>, 2010; <a href="https://toreopsahl.com/tnet/" rel="noopener noreferrer">companion website</a>).</li>
</ul>

<ul>
<li><a href="https://barabasi.com/f/124.pdf" rel="noopener noreferrer">Scale-Free Networks</a>, by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument (<em>Scientific American</em>, 2003).</li>
</ul>

<ul>
<li><a href="https://kieranhealy.org/files/papers/performativity.pdf" rel="noopener noreferrer">The Performativity of Networks</a>, by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject to performativity, i.e. the possibility that reality might be altered by its theoretical inquiry (<em>European Journal of Sociology</em>, 2015).</li>
</ul>

<ul>
<li><a href="https://arxiv.org/abs/1404.0067" rel="noopener noreferrer">Topics in Social Network Analysis and Network Science</a>, by A. James O’Malley and Jukka-Pekka Onnela - 50-page introduction to network analysis, with just the right amount of detail on all aspects of it (<em>The Handbook of Health Services Research</em>, forthcoming 2017).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://www.qualintitative.com/egoweb/" rel="noopener noreferrer">EgoWeb</a> - Server-side software for social network data collection and processing.</li>
</ul>

<ul>
<li><a href="https://graphia.app/" rel="noopener noreferrer">Graphia</a> - Cross-platform tool to visualize large and complex networks (<a href="https://www.cnn.group.cam.ac.uk/news/Graphia-April19" rel="noopener noreferrer">announcement</a>).</li>
</ul>

<ul>
<li><a href="http://hdlab.stanford.edu/palladio/" rel="noopener noreferrer">Palladio</a> - Web-based spatial network visualization tool by the <a href="http://hdlab.stanford.edu/" rel="noopener noreferrer">Humanities + Design research lab</a> at Stanford University.</li>
</ul>

<ul>
<li><a href="https://visiblenetworklabs.com/partner-cprm/" rel="noopener noreferrer">PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships</a> - Excel-based tool for building networks from surveys.</li>
</ul>

<ul>
<li><a href="https://pigale.sourceforge.net/" rel="noopener noreferrer">PIGALE - Public Implementation of a Graph Algorithm Library and Editor</a> - Windows program and C++ library to analyze planar graphs.</li>
</ul>

<ul>
<li><a href="https://github.com/ait-energy/qgis-edge-bundling" rel="noopener noreferrer">qgis-edge-bundling (⭐67)</a> - Implementation of force-directed edge bundling for the QGIS Processing toolbox.</li>
</ul>

<ul>
<li><a href="https://deim.urv.cat/~sergio.gomez/radatools.php" rel="noopener noreferrer">Radatools</a> - Set of tools intended for the analysis of complex networks, built on top of <a href="http://deim.urv.cat/~sergio.gomez/radalib.php" rel="noopener noreferrer">Radalib</a>, a library written in Ada.</li>
</ul>

<ul>
<li><a href="https://ouestware.gitlab.io/retina" rel="noopener noreferrer">Retina</a> - Web application to share GEXF and GraphML network visualizations.</li>
</ul>

<ul>
<li><a href="https://www.sagemath.org/" rel="noopener noreferrer">SageMath</a> - Free open-source mathematics software with extensive <a href="http://doc.sagemath.org/html/en/reference/graphs/index.html" rel="noopener noreferrer">graph capabilities</a>.</li>
</ul>

<ul>
<li><a href="https://www.segrada.org/" rel="noopener noreferrer">Segrada</a> - Cross-platform tool to build and visualize semantic graph databases.</li>
</ul>

<ul>
<li><a href="https://www.stats.ox.ac.uk/~snijders/siena/" rel="noopener noreferrer">Siena</a> - Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package.</li>
</ul>

<ul>
<li><a href="https://socnetv.org/" rel="noopener noreferrer">SocNetV - Social Network Visualizer</a> - Cross-platform program that includes a <a href="https://socnetv.org/news/?post=socnetv-v16-released-with-a-working-web-crawler" rel="noopener noreferrer">simple Web crawler</a> to construct hyperlink networks.</li>
</ul>

<ul>
<li><a href="https://visone.ethz.ch/" rel="noopener noreferrer">Visone</a> - Cross-platform Java network analysis and visualization program, free for noncommercial use.<ul>
<li><a href="https://visone.ethz.ch/wiki/index.php/Tutorials" rel="noopener noreferrer">Visone Tutorials</a> - Including one using an archaeological case study (2017).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://www.vosviewer.com/" rel="noopener noreferrer">VOSviewer</a> - Cross-platform Java tool for constructing and visualizing bibliometric networks.</li>
</ul>
<h3><p>Software / Algorithms</p>
</h3>
<ul>
<li><a href="https://gregory.org/research/networks/software/conga.html" rel="noopener noreferrer">CONGA and CONGO</a> - Algorithms to detect overlapping communities in networks, written in Java.</li>
</ul>

<ul>
<li><a href="https://ssbgroup.fr/mixnet.html" rel="noopener noreferrer">MixNet - Erdös-Rényi Mixture Model for Networks</a> - Community detection method, available in C++ and R.</li>
</ul>

<ul>
<li><a href="https://vbmod.sourceforge.net/" rel="noopener noreferrer">vbmod: Variational Bayesian Inference for Network Modularity</a> - MATLAB and Python implementations of a <a href="https://arxiv.org/abs/0709.3512" rel="noopener noreferrer">Bayesian community detection algorithm</a>.</li>
</ul>
<h3><p>Software / C / C++</p>
</h3>
<ul>
<li><a href="https://www.boost.org/doc/libs/1_60_0/libs/graph/doc/" rel="noopener noreferrer">BGL - Boost Graph Library</a> - C++ library that provides a generic interface to access graph structures.</li>
</ul>

<ul>
<li><a href="https://igraph.org/" rel="noopener noreferrer">igraph</a> - C library of network analysis tools; also exists as packages for Python and R.</li>
</ul>

<ul>
<li><a href="https://www.mapequation.org/" rel="noopener noreferrer">MapEquation</a> - C++ code for the Infomap method of multilevel community detection.</li>
</ul>

<ul>
<li><a href="https://networks-tb.sourceforge.net/" rel="noopener noreferrer">networks.tb</a> - C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X.</li>
</ul>

<ul>
<li><a href="https://ogdf.uos.de/" rel="noopener noreferrer">OGDF - Open Graph Drawing Framework</a> - Self-contained C++ class library for diagram, network and tree layouts.</li>
</ul>
<h3><p>Software / Java</p>
</h3>
<ul>
<li><a href="https://graphstream-project.org/" rel="noopener noreferrer">GraphStream</a> - Java library for the modeling and analysis of dynamic graphs.</li>
</ul>
<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://js.cytoscape.org/" rel="noopener noreferrer">Cytoscape.js</a> - Network analysis and visualization library.</li>
</ul>

<ul>
<li><a href="https://gojs.net/" rel="noopener noreferrer">GoJS</a> - Visualization library to draw diagrams and several types of network layouts.</li>
</ul>

<ul>
<li><a href="https://github.com/Nhogs/popoto" rel="noopener noreferrer">Popoto.js (⭐534)</a> - Library based on d3.js that provides a graph based search interface.</li>
</ul>

<ul>
<li><a href="https://www.sigmajs.org/" rel="noopener noreferrer">Sigma</a> - JavaScript library dedicated to graph drawing.</li>
</ul>

<ul>
<li><a href="https://visjs.org/" rel="noopener noreferrer">vis.js</a> - JavaScript library with network visualization capabilities.</li>
</ul>
<h3><p>Software / MATLAB</p>
</h3>
<ul>
<li><a href="https://dgleich.github.io/matlab-bgl/" rel="noopener noreferrer">MatlabBGL</a> - Graph library based on the C++ Boost Graph Library.</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://bokeh.org/" rel="noopener noreferrer">bokeh</a> - Python library for interactive data visualization in the browser, with support for networks.</li>
</ul>

<ul>
<li><a href="https://github.com/GiulioRossetti/cdlib" rel="noopener noreferrer">cdlib (⭐423)</a> - Python community detection library, with 60+ methods and evaluation/visualization features.</li>
</ul>

<ul>
<li><a href="https://networkx.org/" rel="noopener noreferrer">networkx</a> - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.<ul>
<li><a href="https://gist.github.com/dmasad/8509304" rel="noopener noreferrer">Implementing an ERGM from Scratch in Python</a>, using networkx and numpy (2014).</li>
<li><a href="https://github.com/ericmjl/nxviz/" rel="noopener noreferrer">nxviz (⭐483)</a> - Visualization package for NetworkX.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://nngt.readthedocs.io" rel="noopener noreferrer">nngt</a> - Library-agnostic graph generation and analysis that wraps around <code>networkx</code>, <code>igraph</code> and <code>graph-tool</code>). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators.</li>
</ul>

<ul>
<li><a href="https://perso.crans.org/aynaud/communities/" rel="noopener noreferrer">python-louvain</a> - A solid implementation of Louvain community detection algorithm.</li>
</ul>

<ul>
<li><a href="https://docs.scipy.org/doc/scipy/reference/sparse.csgraph.html#module-scipy.sparse.csgraph" rel="noopener noreferrer">scipy.sparse.csgraph</a> - Fast graph algorithms based on sparse matrix representations.</li>
</ul>

<ul>
<li><a href="https://github.com/Yquetzal/tnetwork" rel="noopener noreferrer">tnetwork (⭐16)</a> - Python library for temporal networks, and dynamic community detection in particular.</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://CRAN.R-project.org/package=brainGraph" rel="noopener noreferrer">brainGraph</a> - Tools for performing graph theory analysis of brain MRI data.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=dodgr" rel="noopener noreferrer">dodgr</a> - Computes distances on dual-weighted directed graphs, such as street networks, using priority-queue shortest paths.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=egor" rel="noopener noreferrer">egor</a> - Tools for importing, analyzing and visualizing ego-centered network data, in various formats.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=EpiModel" rel="noopener noreferrer">EpiModel</a> - Tools for simulating mathematical models of infectious disease dynamics (<a href="https://doi.org/10.18637%2Fjss.v084.i08" rel="noopener noreferrer">presentation paper</a>).</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=ergMargins" rel="noopener noreferrer">ergMargins</a> - Process analysis for ERGMs.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=ergmito" rel="noopener noreferrer">ergmito</a> - ERGMs for small networks.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=fergm" rel="noopener noreferrer">fergm</a> - Frailty ERGMs.</li>
</ul>

<ul>
<li><a href="https://github.com/snlab-ch/goldfish" rel="noopener noreferrer">goldfish (⭐66)</a> - Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=graphlayouts" rel="noopener noreferrer">graphlayouts</a> - Layout algorithms based on the concept of <a href="https://doi.org/10.1007/978-3-540-31843-9_25" rel="noopener noreferrer">stress majorization</a>.<ul>
<li><a href="http://blog.schochastics.net/post/introducing-graphlayouts-with-got/" rel="noopener noreferrer">Introducing graphlayouts with Game of Thrones</a>.</li>
<li><a href="https://mr.schochastics.net/material/netVizR/" rel="noopener noreferrer">Network Visualizations in R using ggraph and graphlayouts</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=multinet" rel="noopener noreferrer">multinet</a> - Tools for multilayer social networks.<ul>
<li><a href="http://multilayer.it.uu.se/" rel="noopener noreferrer">Related book and data</a>, and <a href="http://multilayer.it.uu.se/papers/jss.pdf" rel="noopener noreferrer">presentation article</a>. See <code>uunet</code> for the Python version.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/web/packages/migraph/" rel="noopener noreferrer">migraph</a> - A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks.</li>
</ul>

<ul>
<li><a href="https://christophergandrud.github.io/networkD3/" rel="noopener noreferrer">networkD3</a> - Create d3.js network graphs from R.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=netrankr" rel="noopener noreferrer">netrankr</a> - Up-to-date collection of network centrality indices, with lots of documentation.<ul>
<li><a href="http://blog.schochastics.net/post/network-centrality-in-r-introduction/" rel="noopener noreferrer">Network Centrality in R: An Introduction</a> - Includes a review of relevant R packages.</li>
<li><a href="http://blog.schochastics.net/post/network-centrality-in-r-neighborhood-inclusion/" rel="noopener noreferrer">Network Centrality in R: Neighborhood Inclusion</a>.</li>
<li><a href="http://blog.schochastics.net/post/network-centrality-in-r-new-ways-of-measuring-centrality/" rel="noopener noreferrer">Network Centrality in R: New Ways of Measuring Centrality</a> (2018).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=spNetwork" rel="noopener noreferrer">spNetwork</a> - Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis.</li>
</ul>

<ul>
<li><a href="https://statnet.org/" rel="noopener noreferrer">statnet</a> - The project behind many R network analysis packages (<a href="https://mailman13.u.washington.edu/mailman/listinfo/statnet_help" rel="noopener noreferrer">mailing-list</a>, <a href="https://statnet.org/workshops/" rel="noopener noreferrer">tutorials/workshops</a>).<ul>
<li><a href="https://statnet.org/workshop-ergm/ergm_tutorial.html" rel="noopener noreferrer">Exponential Random Graph Models (ERGMs) Using statnet</a> (2022).</li>
<li><a href="http://www.melissaclarkson.com/resources/R_guides/" rel="noopener noreferrer">Guides for Using the statnet Package</a> (2010).</li>
<li><a href="https://statnet.org/workshop-valued/valued.html" rel="noopener noreferrer">Modeling Valued Networks with statnet</a> (2022).</li>
</ul>
</li>
</ul>
<h3><p>Software / Syntaxes</p>
</h3>
<ul>
<li><a href="https://jgrapht.org/" rel="noopener noreferrer">JGraphT</a> - Java graph library for graph data structures and algorithms (<a href="https://github.com/agouge/Java-Network-Analyzer" rel="noopener noreferrer">example algorithms (⭐9)</a>).</li>
</ul>

<ul>
<li><a href="https://jung.sourceforge.net/" rel="noopener noreferrer">JUNG - Java Universal Network/Graph Framework</a> - Extensible library to represent network objects.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://osf.io/6axte/" rel="noopener noreferrer">(Psychological) Network Analysis Workshops</a> - 3-day workshop on psychological network analysis using R (2019).</li>
</ul>

<ul>
<li><a href="https://histecon.fas.harvard.edu/visualizing/index.html" rel="noopener noreferrer">Visualizing Historical Networks</a> - Historical network research projects at Harvard University.<ul>
<li><a href="https://histecon.fas.harvard.edu/visualizing/angouleme/index.html" rel="noopener noreferrer">Angoulême in 1764</a>.</li>
<li><a href="https://histecon.fas.harvard.edu/visualizing/graphing/economists.html" rel="noopener noreferrer">Economists in Cambridge</a>.</li>
<li><a href="https://histecon.fas.harvard.edu/visualizing/graphing/innerlife.html" rel="noopener noreferrer">The Inner Life of Empires: An Eighteenth Century History</a>.</li>
</ul>
</li>
</ul>
<h3><p>Varia / Blog Series</p>
</h3>
<ul>
<li><a href="https://politbistro.hypotheses.org/tag/reseaux" rel="noopener noreferrer">Blog Posts About Networks by François Briatte</a>, in French.</li>
</ul>

<ul>
<li>Daniel Little’s blog posts on the philosophy of social science:<ul>
<li><a href="https://understandingsociety.blogspot.com/search/label/networks" rel="noopener noreferrer">Networks</a>.</li>
<li><a href="https://understandingsociety.blogspot.com/search/label/social%20networks" rel="noopener noreferrer">Social Networks</a>.</li>
</ul>
</li>
</ul>

<ul>
<li>Martin Grandjean’s blog posts about (mostly) network visualization, in English and French:<ul>
<li><a href="https://www.martingrandjean.ch/tag/analyse-de-reseau/" rel="noopener noreferrer">Network Analysis</a>.</li>
<li><a href="https://www.martingrandjean.ch/tag/reseaux-sociaux/" rel="noopener noreferrer">Social Networks</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="http://www.scottbot.net/HIAL/index.html@tag=networks-demystified.html" rel="noopener noreferrer">Networks Demystified</a>, a series of blog posts by Scott B. Weingart.</li>
</ul>

<ul>
<li><a href="https://netzeundnetzwerke.de/" rel="noopener noreferrer">Netze und Netzwerke</a>, in English and German - Blog on the history of network analysis, by Sebastian Gießmann (<a href="http://www.netzeundnetzwerke.de/old/" rel="noopener noreferrer">old blog</a>).</li>
</ul>

<ul>
<li><a href="https://f.briatte.org/r/category/networks" rel="noopener noreferrer">R / Notes: Networks</a> - Blog posts focused on manipulating networks in R, by François Briatte.</li>
</ul>

<ul>
<li>Yannick Rochat’s blog posts about digital humanities, in English and French:<ul>
<li><a href="https://yro.ch/tag/character-network/" rel="noopener noreferrer">Character Networks</a>.</li>
<li><a href="https://yro.ch/tag/network-analysis/" rel="noopener noreferrer">Network Analysis</a>.</li>
</ul>
</li>
</ul>
<h3><p>Varia / Fictional Networks</p>
</h3>
<ul>
<li><a href="https://docs.bokeh.org/en/latest/docs/examples/topics/categorical/les_mis.html" rel="noopener noreferrer">Character Co-Occurrences in Victor Hugo’s <em>Les Misérables</em></a>, plotted as an adjacency matrix, written in Python (+ Javascript).</li>
</ul>

<ul>
<li><a href="https://www.martingrandjean.ch/network-visualization-shakespeare/" rel="noopener noreferrer">Network Visualization: Mapping Shakespeare’s Tragedies</a>.</li>
</ul>

<ul>
<li><a href="https://aclanthology.org/W12-2513/" rel="noopener noreferrer">Social Network Analysis of <em>Alice in Wonderland</em></a>.</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1209/0295-5075/99/28002" rel="noopener noreferrer">Universal Properties of Mythological Networks</a> (<a href="https://arxiv.org/abs/1205.4324" rel="noopener noreferrer">preprint</a>).</li>
</ul>
<h3><p>Varia / Network Science</p>
</h3>
<ul>
<li>From <a href="https://barabasi.com/publications/1/review-articles" rel="noopener noreferrer">Albert-László Barabási’s review articles</a>:<ul>
<li><a href="https://barabasi.com/f/182.pdf" rel="noopener noreferrer">Taming Complexity</a>.</li>
<li><a href="https://barabasi.com/f/362.pdf" rel="noopener noreferrer">The Network Takeover</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1016/j.socnet.2004.06.002" rel="noopener noreferrer">The Invasion of the Physicists</a> - How “network <em>science</em>” came up.</li>
</ul>

<ul>
<li><a href="https://crookedtimber.org/2005/05/19/isolated-social-networkers/" rel="noopener noreferrer">Isolated Social Networkers</a>, <a href="http://bactra.org/weblog/347.html" rel="noopener noreferrer">Networks and Netwars</a> and <a href="https://www.cs.unm.edu/~aaron/blog/archives/2005/05/the_interdiscip.htm" rel="noopener noreferrer">The Inter-Disciplinary Politics of Interdisciplinary Research or, “Hey, That Was My Idea First.”</a> - Series of blog posts that predate the advent of “network science” as a buzzword, but that touch upon the same issues as those now being discussed under that heading.</li>
</ul>

<ul>
<li><a href="https://arxiv.org/abs/1310.8220" rel="noopener noreferrer">Predicting Highly Cited Papers</a> - Prediction of the next highly cited papers in network science.</li>
</ul>
<h3><p>Varia / Two-Mode Networks</p>
</h3>
<ul>
<li><a href="https://shs.hal.science/halshs-00794976" rel="noopener noreferrer">L’analyse des graphes bipartis</a>, in French (2013).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1016/j.socnet.2007.04.006" rel="noopener noreferrer">Basic Notions for the Analysis of Large Two-mode Networks</a>  (<a href="https://www-complexnetworks.lip6.fr/~latapy/Publis/socnet07.pdf" rel="noopener noreferrer">preprint</a>, <a href="https://www-complexnetworks.lip6.fr/~latapy/Bip/" rel="noopener noreferrer">related code</a>; <em>Social Networks</em>, 2008).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1016/j.socnet.2004.01.002" rel="noopener noreferrer">Generalized Blockmodeling of Two-mode Network Data</a> (<a href="http://vlado.fmf.uni-lj.si/pub/networks/doc/preprint/TwoMode.pdf" rel="noopener noreferrer">preprint</a>).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1016/j.socnet.2015.04.001" rel="noopener noreferrer">Generalized Two-Mode Cores</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2023/17/"/>
    <summary>142 awesome projects updated on Apr 24 - Apr 30, 2023</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2021/16/</id>
    <title>Awesome Network Analysis Updates on Apr 19 - Apr 25, 2021</title>
    <updated>2021-04-20T17:12:34.000Z</updated>
    <published>2021-04-20T17:12:34.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="http://multilayer.it.uu.se/book.html" rel="noopener noreferrer">Multilayer Social Networks</a></em>, by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="http://multilayer.it.uu.se/software.html" rel="noopener noreferrer">uunet</a> - Tools for multilayer social networks.<ul>
<li><a href="http://multilayer.it.uu.se/" rel="noopener noreferrer">Related book and data</a>. See <code>multinet</code> for the R version.</li>
</ul>
</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2021/16/"/>
    <summary>2 awesome projects updated on Apr 19 - Apr 25, 2021</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2021/15/</id>
    <title>Awesome Network Analysis Updates on Apr 12 - Apr 18, 2021</title>
    <updated>2021-04-15T18:42:44.000Z</updated>
    <published>2021-04-15T18:42:44.000Z</published>
    <content type="html"><![CDATA[<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.ecologia.ib.usp.br/iwdb/" rel="noopener noreferrer">Interaction Web Database</a> - Ecological species interactions.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2021/15/"/>
    <summary>1 awesome projects updated on Apr 12 - Apr 18, 2021</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2021/13/</id>
    <title>Awesome Network Analysis Updates on Mar 29 - Apr 04, 2021</title>
    <updated>2021-04-02T16:45:18.000Z</updated>
    <published>2021-04-02T16:45:18.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://github.com/microsoft/graspologic" rel="noopener noreferrer">graspologic (⭐977)</a> - Python package for statistical algorithms, models, and visualization for single and multiple networks.<ul>
<li><a href="https://graspologic.readthedocs.io/en/latest/" rel="noopener noreferrer">Tutorials on algorithms and models</a>.</li>
</ul>
</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2021/13/"/>
    <summary>1 awesome projects updated on Mar 29 - Apr 04, 2021</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2020/23/</id>
    <title>Awesome Network Analysis Updates on Jun 08 - Jun 14, 2020</title>
    <updated>2020-06-06T08:54:20.000Z</updated>
    <published>2020-06-06T08:54:20.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="https://papress.com/products/the-book-of-trees-visualizing-branches-of-knowledge" rel="noopener noreferrer">The Book of Trees. Visualizing Branches of Knowledge</a></em>, by Manuel Lima - Hundreds of beautiful tree diagrams, from all periods of history (2014).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2020/23/"/>
    <summary>1 awesome projects updated on Jun 08 - Jun 14, 2020</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2020/21/</id>
    <title>Awesome Network Analysis Updates on May 25 - May 31, 2020</title>
    <updated>2020-05-18T12:10:41.000Z</updated>
    <published>2020-05-18T12:10:41.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://github.com/benedekrozemberczki/littleballoffur" rel="noopener noreferrer">littleballoffur (⭐713)</a> - Python package for sampling from graph structured data with a scikit-learn like API.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2020/21/"/>
    <summary>1 awesome projects updated on May 25 - May 31, 2020</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2020/8/</id>
    <title>Awesome Network Analysis Updates on Feb 24 - Mar 01, 2020</title>
    <updated>2020-02-17T07:33:58.000Z</updated>
    <published>2020-02-17T06:58:27.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://github.com/public-accountability/oligrapher" rel="noopener noreferrer">Oligrapher (⭐108)</a> - Library initially developed to visualise <a href="https://littlesis.org/" rel="noopener noreferrer">"networks of influence" among U.S. elites</a>.</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://github.com/neo4j-rstats/neo4r" rel="noopener noreferrer">neo4r (⭐107)</a> - Neo4J driver for R.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=relevent" rel="noopener noreferrer">relevent</a> - Tools to fit relational event models (REM).<ul>
<li><a href="https://CRAN.R-project.org/package=informR" rel="noopener noreferrer">informR</a> - Tools to create sequence statistics from event lists to be used in <code>relevent</code>.</li>
</ul>
</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2020/8/"/>
    <summary>3 awesome projects updated on Feb 24 - Mar 01, 2020</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2020/6/</id>
    <title>Awesome Network Analysis Updates on Feb 10 - Feb 16, 2020</title>
    <updated>2020-02-07T13:14:53.000Z</updated>
    <published>2020-02-07T13:14:06.000Z</published>
    <content type="html"><![CDATA[<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://www.exeley.com/journal/journal_of_social_structure" rel="noopener noreferrer">Journal of Social Structure</a></em> (INSNA). <a href="http://www.cmu.edu/joss" rel="noopener noreferrer">Older archives</a>.</li>
</ul>
<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://github.com/networkcube/networkcube" rel="noopener noreferrer">NetworkCube (⭐94)</a> - "Dynamic Network Visualizations [for] Domain Scientists." For demo examples, see <a href="https://networkcube.github.io/vistorian/" rel="noopener noreferrer">The Vistorian</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2020/6/"/>
    <summary>2 awesome projects updated on Feb 10 - Feb 16, 2020</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2020/4/</id>
    <title>Awesome Network Analysis Updates on Jan 27 - Feb 02, 2020</title>
    <updated>2020-01-25T15:51:44.000Z</updated>
    <published>2020-01-25T15:51:44.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://github.com/benedekrozemberczki/karateclub" rel="noopener noreferrer">karateclub (⭐2.3k)</a> - Python package for unsupervised learning on graph structured data with a scikit-learn like API.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2020/4/"/>
    <summary>1 awesome projects updated on Jan 27 - Feb 02, 2020</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2020/2/</id>
    <title>Awesome Network Analysis Updates on Jan 13 - Jan 19, 2020</title>
    <updated>2020-01-07T15:48:31.000Z</updated>
    <published>2020-01-07T15:48:31.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://CRAN.R-project.org/package=backbone" rel="noopener noreferrer">backbone</a> - Provides methods for binarizing a weighted network retaining only significant edges.<ul>
<li><a href="https://arxiv.org/abs/1912.12779" rel="noopener noreferrer">Introduction to the backbone package</a></li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://github.com/schochastics/networkdata" rel="noopener noreferrer">networkdata (⭐145)</a> - Includes 979 network datasets containing 2135 networks.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=snahelper" rel="noopener noreferrer">snahelper</a> - RStudio addin which provides a GUI to visualize and analyse networks<ul>
<li><a href="http://blog.schochastics.net/post/an-rstudio-addin-for-network-analysis-and-visualization/" rel="noopener noreferrer">Introduction to snahelper (Part 1)</a></li>
<li><a href="http://blog.schochastics.net/post/new-rstudio-addins-for-network-analysis/" rel="noopener noreferrer">Introduction to snahelper (Part 2)</a></li>
</ul>
</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2020/2/"/>
    <summary>3 awesome projects updated on Jan 13 - Jan 19, 2020</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2019/34/</id>
    <title>Awesome Network Analysis Updates on Aug 26 - Sep 01, 2019</title>
    <updated>2019-08-25T15:59:13.000Z</updated>
    <published>2019-08-25T15:59:13.000Z</published>
    <content type="html"><![CDATA[<h3><p>Varia / Blog Series</p>
</h3>
<ul>
<li><a href="http://bactra.org/notebooks" rel="noopener noreferrer">Cosma R. Shalizi’s Notebooks</a> on network-related topics, definitely worth listing in (selective) detail:<ul>
<li><a href="http://bactra.org/notebooks/network-data-analysis.html" rel="noopener noreferrer">Analysis of Network Data</a>.</li>
<li><a href="http://bactra.org/notebooks/neutral-cultural-networks.html" rel="noopener noreferrer">Assortative Social Networks and Neutral Cultural Evolution</a>.</li>
<li><a href="http://bactra.org/notebooks/biochem-network-evol.html" rel="noopener noreferrer">Biochemical Network Evolution</a>.</li>
<li><a href="http://bactra.org/notebooks/citations.html" rel="noopener noreferrer">Citations and Citation Networks</a>.</li>
<li><a href="http://bactra.org/notebooks/community-discovery.html" rel="noopener noreferrer">Community Discovery Methods for Complex Networks</a>.</li>
<li><a href="http://bactra.org/notebooks/complex-networks.html" rel="noopener noreferrer">Complex Networks</a>.</li>
<li><a href="http://bactra.org/notebooks/network-experiments.html" rel="noopener noreferrer">Experiments on Social Networks</a>.</li>
<li><a href="http://bactra.org/notebooks/ergms.html" rel="noopener noreferrer">Exponential Random Graph Models (ERGMs)</a>.</li>
<li><a href="http://bactra.org/notebooks/graph-sampling.html" rel="noopener noreferrer">Graph Sampling Algorithms</a>.</li>
<li><a href="http://bactra.org/notebooks/graph-theory.html" rel="noopener noreferrer">Graph Theory</a>.</li>
<li><a href="http://bactra.org/notebooks/homophily-vs-influence.html" rel="noopener noreferrer">Homophily and Influence in Social Networks</a>.</li>
<li><a href="http://bactra.org/notebooks/inferring-networks.html" rel="noopener noreferrer">Inferring Networks from Non-Network Data</a>.</li>
<li><a href="http://bactra.org/notebooks/text-networks.html" rel="noopener noreferrer">Joint Modeling of Texts and Networks</a>.</li>
<li><a href="http://bactra.org/notebooks/network-comparisons.html" rel="noopener noreferrer">Network Comparison</a>.</li>
<li><a href="http://bactra.org/notebooks/networks-of-political-actors.html" rel="noopener noreferrer">Networks of Political Actors</a>.</li>
<li><a href="http://bactra.org/notebooks/relational-learning.html" rel="noopener noreferrer">Relational Learning</a>.</li>
<li><a href="http://bactra.org/notebooks/social-contagion.html" rel="noopener noreferrer">Social Contagion, Information Cascades, Diffusion of Innovations, Etc.</a></li>
<li><a href="http://bactra.org/notebooks/social-networks.html" rel="noopener noreferrer">Social Networks</a>.</li>
<li><a href="http://bactra.org/notebooks/stochastic-block-models.html" rel="noopener noreferrer">Stochastic Block Models</a>.<ul>
<li>See also: <a href="https://www.alexpghayes.com/blog/an-annotated-bibliography-on-stochastic-block-models/" rel="noopener noreferrer">An Annotated Bibliography on Stochastic Blockmodels</a> (2019).</li>
</ul>
</li>
</ul>
</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2019/34/"/>
    <summary>1 awesome projects updated on Aug 26 - Sep 01, 2019</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2019/28/</id>
    <title>Awesome Network Analysis Updates on Jul 15 - Jul 21, 2019</title>
    <updated>2019-07-14T21:31:49.000Z</updated>
    <published>2019-07-14T19:54:26.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Tutorials</p>
</h3>
<ul>
<li><a href="http://kateto.net/network-visualization" rel="noopener noreferrer">Static and Dynamic Network Visualization with R</a> - Covers the igraph, network, ggraph, network, networkD3, ndtv, threejs and visNetwork packages (2019).</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://github.com/benedekrozemberczki/awesome-graph-classification" rel="noopener noreferrer">Awesome graph classification (⭐4.8k)</a> - Comprehensive list of graph embedding papers with title, authors, link to the paper and reference implementation.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2019/28/"/>
    <summary>2 awesome projects updated on Jul 15 - Jul 21, 2019</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2019/24/</id>
    <title>Awesome Network Analysis Updates on Jun 17 - Jun 23, 2019</title>
    <updated>2019-06-15T19:23:23.000Z</updated>
    <published>2019-06-14T09:52:41.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Software-specific</p>
</h3>
<ul>
<li><em><a href="https://www.springer.com/us/book/9783319238821" rel="noopener noreferrer">A User’s Guide to Network Analysis in R</a></em>, by Douglas A. Luke (2015).</li>
</ul>
<h3><p>Conferences / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.netscisociety.net/" rel="noopener noreferrer">NetSci - International School and Conference on Social Networks</a> - Organized by the Network Science Society (NetSci).<ul>
<li><a href="http://danlarremore.com/CommunityDetection_and_Ranking_Larremore_2019.pdf" rel="noopener noreferrer">Large-scale Structures in Networks: Hidden Communities and Latent Hierarchies</a> - Talk by <a href="http://danlarremore.com/" rel="noopener noreferrer">Dan Larremore</a> at NetSci 2019.</li>
</ul>
</li>
</ul>
<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="https://bansallab.github.io/asnr/" rel="noopener noreferrer">Animal Social Network Repository</a> - Large “<a href="https://doi.org/10.1038/s41597-019-0056-z" rel="noopener noreferrer">multi-species repository of social networks</a>.”</li>
</ul>

<ul>
<li><a href="https://icon.colorado.edu/" rel="noopener noreferrer">Colorado Index of Complex Networks (ICON)</a> - Large collection of networks described and indexed by Aaron Clauset’s research group.</li>
</ul>

<ul>
<li><a href="http://networksciencebook.com/translations/en/resources/data.html" rel="noopener noreferrer">Network Science Book - Network Datasets</a> - Network data sets from Albert-László Barabási’s <em>Network Science</em> book. Includes data on IMDB actors, arXiv scientific collaboration, network of routers, the US power grid, protein-protein interactions, cell phone users, citation networks, metabolic reactions, e-mail networks, and nd.edu Web pages.</li>
</ul>

<ul>
<li><a href="https://www.uva.nl/profiel/n/o/w.denooy/w.denooy.html#tab_1" rel="noopener noreferrer">Philosophers Networks from Randall Collins’s <em>The Sociology of Philosophies</em></a>.</li>
</ul>
<h3><p>Professional Groups / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.polinetworks.org/" rel="noopener noreferrer">APSA Political Networks</a> - Organized Section of the American Political Science Association (APSA).</li>
</ul>

<ul>
<li><a href="https://politicalnetsecpr.wordpress.com/" rel="noopener noreferrer">ECPR Political Networks SG</a> - Standing Group of the European Consortium for Political Research.</li>
</ul>

<ul>
<li><a href="https://www.insna.org/" rel="noopener noreferrer">INSNA - International Network for Social Network Analysis</a> (<a href="https://www.insna.org/socnet" rel="noopener noreferrer">SOCNET mailing-list</a>).</li>
</ul>
<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="http://ndg.asc.upenn.edu/" rel="noopener noreferrer">Network Dynamics Group at the Annenberg School for Communication, University of Pennsylvania</a>.</li>
</ul>

<ul>
<li><a href="http://foodwebs.org/" rel="noopener noreferrer">Pacific Ecoinformatics and Computational Ecology Lab</a> - Non-profit study group of ecological networks (“food webs”).</li>
</ul>
<h3><p>Review Articles / Archeological and Historical Networks</p>
</h3>
<ul>
<li><a href="http://www.themacroscope.org/?page_id=308" rel="noopener noreferrer">Networks in Historical Research</a> (in <em>The Historian’s Macroscope</em>, 2013).</li>
</ul>
<h3><p>Review Articles / Bibliographic, Citation and Semantic Networks</p>
</h3>
<ul>
<li><a href="http://patrickdoreian.com/wp-content/uploads/2017/12/dynamic-scientific-coauthorship-networks.pdf" rel="noopener noreferrer">Dynamic Scientific Co-Authorship Networks</a> (<em><a href="https://www.springer.com/us/book/9783642230677" rel="noopener noreferrer">Models of Science Dynamics</a></em>, 2012).</li>
</ul>
<h3><p>Review Articles / Biological, Ecological and Disease Networks</p>
</h3>
<ul>
<li><a href="http://kops.uni-konstanz.de/handle/123456789/25907" rel="noopener noreferrer">Biological Networks</a> (<em>Handbook of Graph Drawing and Visualization</em>, 2014).</li>
</ul>
<h3><p>Review Articles / Complex and Multilayer Networks</p>
</h3>
<ul>
<li><a href="https://doi.org/10.1146/annurev-conmatphys-031218-013259" rel="noopener noreferrer">Multilayer Networks in a Nutshell</a> (<em>Annual Review of Condensed Matter Physics</em>, 2019).</li>
</ul>
<h3><p>Review Articles / Network Modeling</p>
</h3>
<ul>
<li><a href="https://projecteuclid.org/euclid.ssu/1504836152" rel="noopener noreferrer">Basic Models and Questions in Statistical Network Analysis</a> (<em>Statistics Surveys</em>, 2017).</li>
</ul>
<h3><p>Review Articles / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://doi.org/10.1146/annurev-economics-080217-053506" rel="noopener noreferrer">Networks and Trade</a> (<em>Annual Review of Economics</em>, 2018).</li>
</ul>

<ul>
<li><a href="https://doi.org/10.1146/annurev-criminol-011518-024701" rel="noopener noreferrer">Social Networks and Crime: Pitfalls and Promises for Advancing the Field</a> (<em>Annual Review of Criminology</em>, 2019).</li>
</ul>
<h3><p>Selected Papers / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://www.cairn.info/revue-reseaux1-2002-5-page-183.htm" rel="noopener noreferrer">Deux traditions d’analyse des reseaux sociaux</a>, by Michael Eve (<a href="https://www.academia.edu/14524365/THE_TWO_TRADITIONS_OF_NETWORK_ANALYSIS" rel="noopener noreferrer">English version</a>; <em>Réseaux</em>, 2002).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://nos.alwaysdata.net/" rel="noopener noreferrer">Node Overlap and Segregation Software</a> - Web-based tool to compute <a href="https://doi.org/10.1111/2041-210X.12395" rel="noopener noreferrer">Strona and Veech</a>’s node overlap and segregation measures.</li>
</ul>

<ul>
<li><a href="https://sparkling-graph.github.io/" rel="noopener noreferrer">SparklingGraph</a> - Cross-platform tool to perform large-scale, distributed network computations with Apache Spark’s GraphX module; written in Java and Scala.</li>
</ul>
<h3><p>Software / Algorithms</p>
</h3>
<ul>
<li><a href="https://github.com/bagrow/linkcomm" rel="noopener noreferrer">Linkcomm - Link Communities in Complex Networks (⭐99)</a> - Community detection algorithms, available in C++, Python <a href="https://CRAN.R-project.org/package=linkcomm" rel="noopener noreferrer">and R</a>.</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://webwebpage.github.io/" rel="noopener noreferrer">webweb</a> - MATLAB/Python library to produce interactive network visualizations with d3.js.</li>
</ul>
<h3><p>Varia / Blog Series</p>
</h3>
<ul>
<li><a href="http://www.thenetworkthinkers.com/" rel="noopener noreferrer">TNT: The Network Thinkers</a> - Valdis Krebs’ blog.</li>
</ul>

<ul>
<li><a href="https://mboudour.github.io/" rel="noopener noreferrer">Under Roquentin’s Chestnut Tree</a> - Moses Boudourides’ blog on analyzing (mostly) networks with Python.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2019/24/"/>
    <summary>25 awesome projects updated on Jun 17 - Jun 23, 2019</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2019/20/</id>
    <title>Awesome Network Analysis Updates on May 20 - May 26, 2019</title>
    <updated>2019-05-18T15:23:37.000Z</updated>
    <published>2019-05-18T15:23:37.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://mauriciopoppe.github.io/greuler/" rel="noopener noreferrer">greuler</a> - Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and <a href="https://ialab.it.monash.edu/webcola/" rel="noopener noreferrer">WebCola</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2019/20/"/>
    <summary>1 awesome projects updated on May 20 - May 26, 2019</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2019/17/</id>
    <title>Awesome Network Analysis Updates on Apr 29 - May 05, 2019</title>
    <updated>2019-04-26T11:55:46.000Z</updated>
    <published>2019-04-26T09:43:59.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Classics</p>
</h3>
<ul>
<li><em><a href="https://f.briatte.org/temp/sampson1968.pdf" rel="noopener noreferrer">A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships</a></em>, by Samuel F. Sampson (unpublished PhD dissertation, 1968).</li>
</ul>
<h3><p>Courses / Topic-specific</p>
</h3>
<ul>
<li><a href="https://ocw.mit.edu/courses/economics/14-15j-networks-spring-2018/" rel="noopener noreferrer">Networks (Economics)</a>, by Mardavij Roozbehani and Evan Sadler (MIT, 2018).<ul>
<li><a href="https://hdl.handle.net/1721.1/119628" rel="noopener noreferrer">Networks (Economics)</a>, by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).</li>
</ul>
</li>
</ul>
<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://www.journals.elsevier.com/online-social-networks-and-media/" rel="noopener noreferrer">Online Social Networks and Media</a></em> (Elsevier, gated).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2019/17/"/>
    <summary>3 awesome projects updated on Apr 29 - May 05, 2019</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2019/16/</id>
    <title>Awesome Network Analysis Updates on Apr 22 - Apr 28, 2019</title>
    <updated>2019-04-21T07:55:14.000Z</updated>
    <published>2019-04-21T07:47:47.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://CRAN.R-project.org/package=bipartite" rel="noopener noreferrer">bipartite</a> - Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: <code>levelnet</code> R package.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=ergm" rel="noopener noreferrer">ergm</a> - Estimation of Exponential Random Graph Models (ERGMs).<ul>
<li><a href="http://mjh4.blogspot.com/2012/09/ergm-edgecov-and-dyadcov-specifications.html" rel="noopener noreferrer">ERGM: edgecov and dyadcov Specifications</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=ggraph" rel="noopener noreferrer">ggraph</a> - Grammar of graph graphics built in the spirit of <code>ggplot2</code>. See also: <code>tidygraph</code> R package.</li>
</ul>

<ul>
<li><a href="https://github.com/schochastics/levelnet" rel="noopener noreferrer">levelnet (⭐9)</a> - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: <code>bipartite</code> R package.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="http://psych-networks.com/" rel="noopener noreferrer">Psych Networks</a> - Website with news, references and <a href="https://psych-networks.com/tutorials/" rel="noopener noreferrer">tutorials</a> about network modeling for psychological data.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2019/16/"/>
    <summary>5 awesome projects updated on Apr 22 - Apr 28, 2019</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2019/10/</id>
    <title>Awesome Network Analysis Updates on Mar 11 - Mar 17, 2019</title>
    <updated>2019-03-10T20:41:12.000Z</updated>
    <published>2019-03-09T03:42:28.000Z</published>
    <content type="html"><![CDATA[<h3><p>Conferences / Topic-specific</p>
</h3>
<ul>
<li><a href="http://asonam.cpsc.ucalgary.ca/" rel="noopener noreferrer">ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining</a>.<ul>
<li><a href="http://snaa.pwr.edu.pl/" rel="noopener noreferrer">SNAA - Workshop on Social Network Analysis in Applications</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="http://conference.polinetworks.org/" rel="noopener noreferrer">PolNet - Annual Political Networks Workshops and Conference</a> - Organized by the APSA Organized Section on Political Networks (PolNet).<ul>
<li><a href="https://vimeo.com/user2690333" rel="noopener noreferrer">Videos from the Political Networks 2009 Conference</a>.</li>
</ul>
</li>
</ul>
<h3><p>Courses / Topic-specific</p>
</h3>
<ul>
<li><a href="https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/" rel="noopener noreferrer">Complex Networks</a>, by Peter Sheridan Dodds (University of Vermont, 2016).<ul>
<li><a href="https://www.uvm.edu/~pdodds/teaching/courses/2016-01UVM-303/tarotcards/" rel="noopener noreferrer">Tarot Cards for Principles of Complex Systems and Complex Networks</a>.</li>
</ul>
</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://historicalnetworkresearch.org/" rel="noopener noreferrer">Historical Network Research (HNR)</a> - Platform for scholars interested in network analysis for historical research.<ul>
<li><a href="http://historicalnetworkresearch.org/hnr-events/" rel="noopener noreferrer">HNR Conferences, Workshops and Other Events</a>.</li>
<li><a href="https://vimeo.com/user11811027" rel="noopener noreferrer">HNR Talks</a> - Videos, in German.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://anr.hse.ru/en/" rel="noopener noreferrer">ANR-Lab - International Laboratory for Applied Network Research</a> - Russian group based at the National Research University in Moscow.<ul>
<li><a href="https://anr.hse.ru/en/summer" rel="noopener noreferrer">Theory and Methods in Network Analysis (“TMSA”) Summer Schools</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/" rel="noopener noreferrer">ORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels</a> - A research program on networks and regulation.<ul>
<li><a href="http://blogs.sciences-po.fr/recherche-network-organization-institution-dynamics-multilevel/sminaire-rseaux-et-rgulation/" rel="noopener noreferrer">‘Réseaux et Régulation’ Conference Cycle</a> - Seminar based at Sciences Po in Paris, France.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://reshist.hypotheses.org/" rel="noopener noreferrer">RES-HIST : Réseaux et histoire</a>, in French - Blog posts from a research group on historical networks.<ul>
<li><a href="https://reshist.hypotheses.org/?s=res-hist" rel="noopener noreferrer">RES-HIST Conferences</a>.</li>
</ul>
</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://www.cytoscape.org/" rel="noopener noreferrer">Cytoscape</a> - Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library.<ul>
<li><a href="https://archaeologicalnetworks.wordpress.com/resources/#cytoscape" rel="noopener noreferrer">Network Analysis with Cytoscape Tutorial</a> - Illustrated through an archaeological and geographical case study (2013).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://www.wolfram.com/mathematica/" rel="noopener noreferrer">Mathematica</a> - Cross-platform program with graph theory and network analysis functionalities.<ul>
<li><a href="https://github.com/szhorvat/IGraphM" rel="noopener noreferrer">IGraph/M (⭐100)</a> - Interface to use the <code>igraph</code> library from within Mathematica, using standard Mathematica <code>Graph</code> objects.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="http://nodexl.codeplex.com/" rel="noopener noreferrer">NodeXL</a> - Free, open-source template to explore network graphs with Microsoft Excel.<ul>
<li><a href="https://blogs.k-state.edu/it-news/tag/nodexl/" rel="noopener noreferrer">The NodeXL Series</a> - Series of blog posts on using NodeXL (2013).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="http://mrvar.fdv.uni-lj.si/pajek/" rel="noopener noreferrer">Pajek</a> - Windows program for large network analysis, free for noncommercial use.<ul>
<li><a href="https://quanti.hypotheses.org/512/" rel="noopener noreferrer">Analyse des réseaux : une introduction à Pajek</a>, in French (2011).</li>
<li><a href="https://groupefmr.hypotheses.org/544" rel="noopener noreferrer">La détection de communautés avec Pajek 3.6</a>, in French (2012).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="http://www.uberlink.com/" rel="noopener noreferrer">Uberlink</a> - Software suite for online (hyperlink) network analysis, by the <a href="http://vosonlab.net/" rel="noopener noreferrer">VOSON</a> research project.<ul>
<li><a href="http://www.uberlink.com/software#voson" rel="noopener noreferrer">VOSON System</a> - Web-based software for the collection and analysis of online network data.</li>
<li><a href="http://www.uberlink.com/software#voson-nodexl" rel="noopener noreferrer">VOSON Data Provider for NodeXL</a> (<a href="https://blogs.k-state.edu/it-news/2013/04/09/the-nodexl-series-using-voson-for-hyperlink-network-analysis-part-9/" rel="noopener noreferrer">quick tutorial</a>; to be discontinued in 2016).</li>
<li><a href="http://vosonlab.net/tools" rel="noopener noreferrer">vosonR</a> - R client for the VOSON software (in development).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="http://www.vennmaker.com/?lang=en" rel="noopener noreferrer">VennMaker: An Actor-Centered Interactive Network Mapping Tool</a> - Cross-platform Java program for ego network analysis.<ul>
<li><a href="http://revistes.uab.cat/redes/article/view/v21-during-bixier-kronenwett-stark" rel="noopener noreferrer">VennMaker for Historians: Sources, Social Networks and Software</a> (also available in Spanish; 2011).</li>
</ul>
</li>
</ul>
<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://d3js.org/" rel="noopener noreferrer">d3.js</a> - JavaScript visualization library that can plot <a href="http://bl.ocks.org/mbostock/4062045" rel="noopener noreferrer">force-directed graphs</a>.<ul>
<li><a href="https://github.com/d3/d3-force" rel="noopener noreferrer">d3-force: Force-directed graph layout (⭐2k)</a> using velocity Verlet integration.</li>
<li><a href="https://github.com/thepeoplesbourgeois/d3-vector" rel="noopener noreferrer">d3-vector: Define connections between nodes as directional vectors (⭐4)</a>, consisting of angles and magnitudes.</li>
</ul>
</li>
</ul>
<h3><p>Software / Julia</p>
</h3>
<ul>
<li><a href="https://github.com/sisl/BayesNets.jl" rel="noopener noreferrer">BayesNets.jl (⭐230)</a> - Package to work with Bayesian networks.<ul>
<li><a href="https://github.com/sisl/Smile.jl" rel="noopener noreferrer">Smile.jl (⭐2)</a> - Julia wrapper for the <a href="http://www.bayesfusion.com/smile-engine" rel="noopener noreferrer">Smile C++ library</a>, which covers Bayesian networks and influence diagrams.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://github.com/weijianzhang/EvolvingGraphs.jl" rel="noopener noreferrer">EvolvingGraphs (⭐51)</a> - Package to create, manipulate and study time-dependent networks.<ul>
<li><a href="http://eprints.ma.man.ac.uk/2376/01/julia_eg_report.pdf" rel="noopener noreferrer">Dynamic Network Analysis in Julia</a>.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://github.com/JuliaLang/Graphs.jl" rel="noopener noreferrer">Graphs.jl (⭐204)</a> - Package to manipulate graph objects in Julia.<ul>
<li><a href="http://badhessian.org/2014/05/creating-network-diagrams-in-plotly-from-julia/" rel="noopener noreferrer">Creating Network Diagrams in Plotly from Julia</a>.</li>
<li><a href="https://github.com/JuliaGraphs/MetaGraphs.jl" rel="noopener noreferrer">MetaGraphs (⭐71)</a> - Graph data structures with multiple heterogeneous metadata for Graphs.jl.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://github.com/JuliaGraphs" rel="noopener noreferrer">JuliaGraphs</a> - Suite of Julia packages for network analysis.<ul>
<li><a href="https://github.com/JuliaGraphs/GraphVisualize.jl" rel="noopener noreferrer">GraphVisualize.jl (⭐5)</a> - Graph visualization built on top of <a href="https://github.com/JuliaGL/GLVisualize.jl" rel="noopener noreferrer">GLVisualize.jl (⭐246)</a>.</li>
<li><a href="https://github.com/JuliaGraphs/LightGraphs.jl" rel="noopener noreferrer">LightGraphs.jl (⭐667)</a> - Graph library with a focus on performance and simplicity.</li>
<li><a href="https://github.com/JuliaGraphs/LightGraphsExtras.jl" rel="noopener noreferrer">LightGraphsExtras.jl (⭐21)</a> - Community detection and other functionalities for the LightGraphs.jl package.</li>
<li><a href="https://github.com/JuliaGraphs/NetworkLayout.jl" rel="noopener noreferrer">NetworkLayout.jl (⭐106)</a> - Layout algorithms for graphs and trees.</li>
<li><a href="https://github.com/JuliaGraphs/Networks.jl" rel="noopener noreferrer">Networks.jl (⭐3)</a> - Additional graph functions for the LightGraphs.jl package.</li>
<li><a href="https://github.com/JuliaGraphs/GraphCentrality.jl" rel="noopener noreferrer">GraphCentrality.jl (⭐4)</a> - Adds network measures to the Graphs.jl package.</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://github.com/abhijithanilkumar/NetworkViz.jl" rel="noopener noreferrer">NetworkViz.jl (⭐29)</a> - Package to visualize graphs produced with LightGraphs.jl, using <a href="https://github.com/rohitvarkey/ThreeJS.jl" rel="noopener noreferrer">ThreeJS.jl (⭐56)</a>.<ul>
<li><a href="https://youtu.be/kY5te9NwXo8?list=PLP8iPy9hna6SQPwZUDtAM59-wPzCPyD_S" rel="noopener noreferrer">Video presentation of the package</a> by its author at JuliaCon 2016.</li>
</ul>
</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://github.com/plotly/dash-cytoscape" rel="noopener noreferrer">dash-cytoscape (⭐672)</a> - Interactive network visualization library in Python, powered by Cytoscape.js and Dash</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="http://igraph.org/r/" rel="noopener noreferrer">igraph</a> - A collection of network analysis tools.<ul>
<li><a href="http://kateto.net/networks-r-igraph" rel="noopener noreferrer">Network Analysis and Visualization with R and igraph</a> (2016).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=qgraph" rel="noopener noreferrer">qgraph</a> - Tools to model and visualize psychometric networks; also aimed at weighted graphical models).<ul>
<li><a href="http://psychosystems.org/network-model-selection-using-qgraph-1-3-10/" rel="noopener noreferrer">Network Model Selection Using qgraph 1.3</a> (2014).</li>
<li><a href="http://sachaepskamp.com/qgraph/examples" rel="noopener noreferrer">qgraph Examples</a>.</li>
<li><a href="https://www.jstatsoft.org/article/view/v048i04" rel="noopener noreferrer">qgraph: Network Visualizations of Relationships in Psychometric Data</a> (2012).</li>
</ul>
</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=tidygraph" rel="noopener noreferrer">tidygraph</a> - ‘Tidy’ approach to building graph structures. See also: <code>ggraph</code> R package.<ul>
<li><a href="https://www.data-imaginist.com/2017/introducing-tidygraph/" rel="noopener noreferrer">Introducing tidygraph</a></li>
<li><a href="https://posit.co/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/" rel="noopener noreferrer">Tidying up your network analysis with tidygraph and ggraph</a></li>
</ul>
</li>
</ul>
<h3><p>Software / Syntaxes</p>
</h3>
<ul>
<li><a href="http://www.ctan.org/tex-archive/graphics/pgf/" rel="noopener noreferrer">PGF/TikZ</a> - <a href="https://en.wikipedia.org/wiki/PGF/TikZ" rel="noopener noreferrer">Tandem</a> of vector graphics languages that can be used to draw graphs in the <a href="https://latex-project.org/" rel="noopener noreferrer">LaTeX</a> typesetting environment.<ul>
<li><a href="https://github.com/egeerardyn/awesome-LaTeX#tikz" rel="noopener noreferrer">Awesome LaTeX: TiKZ (⭐1.6k)</a>.</li>
<li><a href="https://tex.stackexchange.com/questions/57152/how-to-draw-graphs-in-latex" rel="noopener noreferrer">How to Draw Graphs in LaTeX?</a></li>
<li><a href="http://www.texample.net/tikz/examples/tag/graphs/" rel="noopener noreferrer">TikZ Graph Examples</a>.</li>
<li><a href="http://distrib-coffee.ipsl.jussieu.fr/pub/mirrors/ctan/graphics/pgf/base/doc/pgfmanual.pdf" rel="noopener noreferrer">TikZ &amp; PGF Manual</a>.</li>
<li><a href="http://altermundus.com/pages/tkz/index.html" rel="noopener noreferrer">TKZ</a> - Packages based on TikZ.</li>
</ul>
</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2019/10/"/>
    <summary>24 awesome projects updated on Mar 11 - Mar 17, 2019</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2018/52/</id>
    <title>Awesome Network Analysis Updates on Dec 24 - Dec 30, 2018</title>
    <updated>2018-12-28T11:02:20.000Z</updated>
    <published>2018-12-28T11:02:20.000Z</published>
    <content type="html"><![CDATA[<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://github.com/benedekrozemberczki/awesome-community-detection" rel="noopener noreferrer">Awesome community detection (⭐2.4k)</a> - Comprehensive list of community detection papers with title, authors, link to the paper and reference implementation.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2018/52/"/>
    <summary>1 awesome projects updated on Dec 24 - Dec 30, 2018</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2018/19/</id>
    <title>Awesome Network Analysis Updates on May 07 - May 13, 2018</title>
    <updated>2018-05-09T04:44:34.000Z</updated>
    <published>2018-05-09T04:44:34.000Z</published>
    <content type="html"><![CDATA[<h3><p>Review Articles / Archeological and Historical Networks</p>
</h3>
<ul>
<li><a href="https://doi.org/10.1049/iet-syb:20060038" rel="noopener noreferrer">Graph Theory and Networks in Biology</a> (<a href="https://arxiv.org/abs/q-bio/0604006" rel="noopener noreferrer">preprint</a>; <em>IET Systems Biology</em>, 2007).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2018/19/"/>
    <summary>1 awesome projects updated on May 07 - May 13, 2018</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2018/18/</id>
    <title>Awesome Network Analysis Updates on Apr 30 - May 06, 2018</title>
    <updated>2018-05-01T13:35:18.000Z</updated>
    <published>2018-05-01T13:35:18.000Z</published>
    <content type="html"><![CDATA[<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0027407" rel="noopener noreferrer">The Small World of Psychopathology</a> - Paper on how psychiatric symptoms connec to each other (<a href="https://sites.google.com/site/dsmgraphs/Home/files" rel="noopener noreferrer">code, data and graphs</a>).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2018/18/"/>
    <summary>1 awesome projects updated on Apr 30 - May 06, 2018</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2018/16/</id>
    <title>Awesome Network Analysis Updates on Apr 16 - Apr 22, 2018</title>
    <updated>2018-04-20T12:27:28.000Z</updated>
    <published>2018-04-19T11:25:30.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Dissemination</p>
</h3>
<ul>
<li><em><a href="https://sites.google.com/a/binghamton.edu/netscied/teaching-learning/network-concepts" rel="noopener noreferrer">Network Literacy: Essential Concepts and Core ideas</a></em>, by the NetSciEd team (c. 2016) - Available in several languages (<a href="https://academic.oup.com/comnet/article-abstract/4/3/457/1745356" rel="noopener noreferrer">paper</a>).</li>
</ul>
<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="https://global.oup.com/academic/product/network-analysis-in-archaeology-9780199697090" rel="noopener noreferrer">Network Analysis in Archaeology</a></em>, edited by Carl Knappett (2013; <a href="https://doi.org/10.4000/nda.2383" rel="noopener noreferrer">review in French</a>).</li>
</ul>
<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="http://awesome.cs.jhu.edu/graph-services/download/" rel="noopener noreferrer">Connectome</a> - Comprehensive maps of neural connections.</li>
</ul>
<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://academic.oup.com/comnet" rel="noopener noreferrer">Journal of Complex Networks</a></em> (Oxford, gated).</li>
</ul>

<ul>
<li><em><a href="https://journals.openedition.org/netcom/" rel="noopener noreferrer">NETCOM. Networks and Communication Studies</a></em>, in English and in French (Revues.org).</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://sites.uclouvain.be/networks/" rel="noopener noreferrer">Large Graphs and Networks</a> - Research group at the Catholic University of Louvain (<a href="https://uclouvain.be/en/research-institutes/icteam/large-graphs-and-networks.html" rel="noopener noreferrer">official page</a>).</li>
</ul>

<ul>
<li><a href="http://www.net.c.titech.ac.jp/" rel="noopener noreferrer">Murata Laboratory</a> - Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks.</li>
</ul>
<h3><p>Review Articles / Network Modeling</p>
</h3>
<ul>
<li><a href="http://link.springer.com/referenceworkentry/10.1007%2F978-1-4614-1800-9_138" rel="noopener noreferrer">Positional Analysis and Blockmodeling</a> (<em>Computational Complexity</em>, 2012).</li>
</ul>
<h3><p>Review Articles / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://link.springer.com/10.1007%2F978-1-4614-6170-8_79" rel="noopener noreferrer">Networks in Social Psychology, Beginning with Kurt Lewin</a> (<em><a href="https://www.springer.com/us/book/9781461461692" rel="noopener noreferrer">Encyclopedia of Social Network Analysis and Mining</a></em>, 2014).</li>
</ul>

<ul>
<li><a href="http://sk.sagepub.com/reference/the-sage-handbook-of-social-network-analysis/n29.xml" rel="noopener noreferrer">Positions and Roles</a> (<em><a href="http://www.sagepub.in/books/Book232753/" rel="noopener noreferrer">The SAGE Handbook of Social Network Analysis</a></em>, 2011).</li>
</ul>

<ul>
<li>Urban Social Networks: Some Methodological Problems and Possibilities (<a href="https://www.worldcat.org/title/small-world/oclc/925078340&amp;referer=brief_results" rel="noopener noreferrer"><em>The Small World</em></a>, 1989).</li>
</ul>
<h3><p>Selected Papers / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://www.cairn.info/revue-reseaux1-2008-6-page-21.htm" rel="noopener noreferrer">Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires</a>, by Pascal Cristofoli, in French - Reviews the current state of relational sociology and network analysis in light of the large-scale and online data (<em>Réseaux</em>, 2008).</li>
</ul>
<h3><p>Software / C / C++</p>
</h3>
<ul>
<li><a href="http://www.cs.sandia.gov/~smartin/software.html" rel="noopener noreferrer">OpenOrd: Large-scale Graph Layout (formerly DrL)</a> - C++ algorithm, also available as a <a href="https://gephi.org/plugins/#/plugin/openord-layout" rel="noopener noreferrer">Gephi plugin</a>.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="http://awesome.cs.jhu.edu/graph-services/convert/" rel="noopener noreferrer">Convert Between Graph Formats</a> - Online service to convert from/to many different common graph formats.</li>
</ul>
<h3><p>Varia / Network Science</p>
</h3>
<ul>
<li><a href="https://journals.openedition.org/bms/595" rel="noopener noreferrer">Editing a Normal Science Journal in Social Science</a> - Reflections on the <em>Social Networks</em> journal by its founding editor.</li>
</ul>

<ul>
<li><a href="https://www.jstor.org/stable/29737693" rel="noopener noreferrer">The ‘New’ Science of Networks</a> - Review of network science books published in 2002-2003.</li>
</ul>
<h3><p>Varia / Two-Mode Networks</p>
</h3>
<ul>
<li><a href="http://patrickdoreian.com/wp-content/uploads/2017/12/large-signed-2mode-networks_UNGA.pdf" rel="noopener noreferrer">Fitting Large Signed Two-mode Blockmodels: Problems and Prospects</a>.</li>
</ul>

<ul>
<li><a href="http://patrickdoreian.com/wp-content/uploads/2017/12/partitioning-signed-social-networks.pdf" rel="noopener noreferrer">Partitioning Signed Two-Mode Networks</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2018/16/"/>
    <summary>18 awesome projects updated on Apr 16 - Apr 22, 2018</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2018/15/</id>
    <title>Awesome Network Analysis Updates on Apr 09 - Apr 15, 2018</title>
    <updated>2018-04-13T07:45:17.000Z</updated>
    <published>2018-04-13T07:45:17.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Java</p>
</h3>
<ul>
<li><a href="https://github.com/keith-turner/mixer" rel="noopener noreferrer">Mixer (⭐1)</a> - Prototype showing how to use <a href="https://fluo.apache.org/" rel="noopener noreferrer">Apache Fluo</a> to continuously merge multiple large graphs into a single derived one.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2018/15/"/>
    <summary>1 awesome projects updated on Apr 09 - Apr 15, 2018</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2018/9/</id>
    <title>Awesome Network Analysis Updates on Feb 26 - Mar 04, 2018</title>
    <updated>2018-03-03T02:47:17.000Z</updated>
    <published>2018-03-03T02:47:17.000Z</published>
    <content type="html"><![CDATA[<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="http://moviegalaxies.com/" rel="noopener noreferrer">Movie galaxies</a> - A database of movie characters interaction graphs.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2018/9/"/>
    <summary>1 awesome projects updated on Feb 26 - Mar 04, 2018</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/47/</id>
    <title>Awesome Network Analysis Updates on Nov 20 - Nov 26, 2017</title>
    <updated>2017-11-24T06:11:29.000Z</updated>
    <published>2017-11-24T06:11:29.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://www.elsevier.com/books/fundamentals-of-brain-network-analysis/fornito/978-0-12-407908-3" rel="noopener noreferrer">Fundamentals of Brain Network Analysis</a></em>, by Alex Fornito, Andrew Zalesky and Edward Bullmore (2016).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/47/"/>
    <summary>1 awesome projects updated on Nov 20 - Nov 26, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/44/</id>
    <title>Awesome Network Analysis Updates on Oct 30 - Nov 05, 2017</title>
    <updated>2017-11-03T21:15:25.000Z</updated>
    <published>2017-11-03T21:15:25.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="http://networksciencebook.com" rel="noopener noreferrer">Network Science</a></em>, by Albert-László Barabási - Full book online (2016).</li>
</ul>
<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://revista-redes.rediris.es/" rel="noopener noreferrer">REDES. Revista hispana para el análisis de redes sociales</a></em>, in Spanish (INSNA).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/44/"/>
    <summary>2 awesome projects updated on Oct 30 - Nov 05, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/41/</id>
    <title>Awesome Network Analysis Updates on Oct 09 - Oct 15, 2017</title>
    <updated>2017-10-09T22:22:29.000Z</updated>
    <published>2017-10-09T22:22:14.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="http://snap.stanford.edu/snappy/index.html" rel="noopener noreferrer">Snap.py</a> - A Python interface for SNAP (a general purpose, high performance system for analysis and manipulation of large networks).</li>
</ul>

<ul>
<li><a href="https://github.com/snap-stanford/snapvx" rel="noopener noreferrer">SnapVX (⭐66)</a> - A convex optimization solver for problems defined on a graph.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/41/"/>
    <summary>2 awesome projects updated on Oct 09 - Oct 15, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/35/</id>
    <title>Awesome Network Analysis Updates on Aug 28 - Sep 03, 2017</title>
    <updated>2017-08-30T23:02:38.000Z</updated>
    <published>2017-08-30T23:02:38.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://yalebooks.yale.edu/book/9780300215649/chessboard-and-web" rel="noopener noreferrer">The Chessboard and the Web. Strategies of Connection in a Networked World</a></em>, by Anne-Marie Slaughter (2017); applies network science to world politics.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/35/"/>
    <summary>1 awesome projects updated on Aug 28 - Sep 03, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/34/</id>
    <title>Awesome Network Analysis Updates on Aug 21 - Aug 27, 2017</title>
    <updated>2017-08-21T23:44:50.000Z</updated>
    <published>2017-08-21T23:44:50.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://graphcommons.com/" rel="noopener noreferrer">Graph Commons</a> - Collaborative platform for mapping, analyzing and publishing data-networks.</li>
</ul>

<ul>
<li><a href="https://metamaps.cc/" rel="noopener noreferrer">Metamaps</a> - Free, open-source platform to draw networks, currently in beta.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/34/"/>
    <summary>2 awesome projects updated on Aug 21 - Aug 27, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/28/</id>
    <title>Awesome Network Analysis Updates on Jul 10 - Jul 16, 2017</title>
    <updated>2017-07-14T09:49:55.000Z</updated>
    <published>2017-07-14T09:41:11.000Z</published>
    <content type="html"><![CDATA[<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="https://CRAN.R-project.org/package=igraphdata" rel="noopener noreferrer">igraphdata</a> - R data-centric package.</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://CRAN.R-project.org/package=amen" rel="noopener noreferrer">amen</a> - Additive and multiplicative effects models for relational data.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=Bergm" rel="noopener noreferrer">Bergm</a> - Tools to analyse Bayesian exponential random graph models (BERGM).</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=blockmodeling" rel="noopener noreferrer">blockmodeling</a> - Implementats generalized blockmodeling for valued networks.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=bnlearn" rel="noopener noreferrer">bnlearn</a> - Tools for <a href="http://www.bnlearn.com/" rel="noopener noreferrer">Bayesian network learning and inference</a> (<a href="https://paulgovan.github.io/RiskNetwork" rel="noopener noreferrer">related Shiny app</a>).</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=btergm" rel="noopener noreferrer">btergm</a> - Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and stochastic actor-oriented models (SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=GERGM" rel="noopener noreferrer">GERGM</a> - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM).</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=geomnet" rel="noopener noreferrer">geomnet</a> - Single-geometry approach to network visualization with <code>ggplot2</code>.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=ggnetwork" rel="noopener noreferrer">ggnetwork</a> - Multiple-geometries approach to plot network objects with <code>ggplot2</code>.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=hergm" rel="noopener noreferrer">hergm</a> - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=hierformR" rel="noopener noreferrer">hierformR</a> – Determine paths and states that social networks develop over time to form social hierarchies.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=influenceR" rel="noopener noreferrer">influenceR</a> - Compute various node centrality network measures by Burt, Borgatti and others.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=keyplayer" rel="noopener noreferrer">keyplayer</a> - Implements several network centrality measures.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=latentnet" rel="noopener noreferrer">latentnet</a> - Latent position and cluster models for network objects.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=ndtv" rel="noopener noreferrer">ndtv</a> - Tools to construct animated visualizations of dynamic network data in various formats.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=netdiffuseR" rel="noopener noreferrer">netdiffuseR</a> - Tools to analyze the network diffusion of innovations.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=network" rel="noopener noreferrer">network</a> - Basic tools to manipulate relational data in R.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=networkDynamic" rel="noopener noreferrer">networkDynamic</a> - Support for dynamic, (inter)temporal networks.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=networksis" rel="noopener noreferrer">networksis</a> - Tools to simulate bipartite networksgraphs with the degrees of the nodes fixed and specified.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=PAFit" rel="noopener noreferrer">PAFit</a> - Nonparametric estimation of preferential attachment and node fitness in temporal complex networks.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=PCIT" rel="noopener noreferrer">PCIT</a> - Implements Partial Correlation with Information Theory in order to identify meaningful correlations in weighted networks, such as gene co-expression networks.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=rem" rel="noopener noreferrer">rem</a> - Estimate endogenous network effects in event sequences and fit relational event models (REM), which measure how networks form and evolve over time.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=rgexf" rel="noopener noreferrer">rgexf</a> - Export network objects from R to GEXF for manipulation with software like Gephi or Sigma.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=sna" rel="noopener noreferrer">sna</a> - Basic network constructors, measures and visualization tools.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=SocialMediaLab" rel="noopener noreferrer">SocialMediaLab</a> - Tools for collecting social media data and generating networks from it (<a href="http://vosonlab.net/SocialMediaLab" rel="noopener noreferrer">companion website</a>, <a href="https://github.com/voson-labSocialMediaLab" rel="noopener noreferrer">github repo</a>).</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=spnet" rel="noopener noreferrer">spnet</a> - Methods for visualizing spatial networks on maps in the <code>sp</code> class.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=tergm" rel="noopener noreferrer">tergm</a> - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM).</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=tnam" rel="noopener noreferrer">tnam</a> - Tools to fit temporal and cross-sectional network autocorrelation models (TNAM).</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=tnet" rel="noopener noreferrer">tnet</a> - Network measures for weighted, two-mode and longitudinal networks.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=tsna" rel="noopener noreferrer">tsna</a> - Tools for temporal social network analysis.</li>
</ul>

<ul>
<li><a href="https://CRAN.R-project.org/package=xergm" rel="noopener noreferrer">xergm</a> - Extensions of exponential random graph models (ERGM, GERGM, TERGM, TNAM and REM).</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="http://psych-networks.com/tutorial-paper-new-methods-estimating-psychological-networks/" rel="noopener noreferrer">Tutorial Paper on New Methods for Estimating Psychological Networks</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/28/"/>
    <summary>32 awesome projects updated on Jul 10 - Jul 16, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/25/</id>
    <title>Awesome Network Analysis Updates on Jun 19 - Jun 25, 2017</title>
    <updated>2017-06-21T20:52:55.000Z</updated>
    <published>2017-06-21T20:52:55.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://pypi.python.org/pypi/hiveplot" rel="noopener noreferrer">hiveplot</a> - Python utility for drawing networks as hive plots on matplotlib, a more comprehensive network visualization.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/25/"/>
    <summary>1 awesome projects updated on Jun 19 - Jun 25, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/24/</id>
    <title>Awesome Network Analysis Updates on Jun 12 - Jun 18, 2017</title>
    <updated>2017-06-18T15:07:59.000Z</updated>
    <published>2017-06-18T15:07:59.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://linkage.fr/" rel="noopener noreferrer">Linkage</a> - Online tool to visualize and model networks with textual edges.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/24/"/>
    <summary>1 awesome projects updated on Jun 12 - Jun 18, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/13/</id>
    <title>Awesome Network Analysis Updates on Mar 27 - Apr 02, 2017</title>
    <updated>2017-03-31T01:32:38.000Z</updated>
    <published>2017-03-31T01:32:38.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Dissemination</p>
</h3>
<ul>
<li><em><a href="http://www.connectedthebook.com/" rel="noopener noreferrer">Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives</a></em>, by Nicholas A. Christakis and James H. Fowler (2009).</li>
</ul>
<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="http://sk.sagepub.com/reference/socialnetworks" rel="noopener noreferrer">Encyclopedia of Social Networks</a></em>, edited by George A. Barnett - Covers all sorts of network-related themes (many of them not formal) as well as social network analysis (2011).</li>
</ul>
<h3><p>Books / Graph Theory</p>
</h3>
<ul>
<li><em><a href="https://www.springer.com/us/book/9780387797106" rel="noopener noreferrer">Combinatorics and Graph Theory</a></em>, by John Harris, Jeffry L. Hirst and Michael Mossinghoff (2008).</li>
</ul>
<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="https://www.springer.com/fr/book/9781461464457" rel="noopener noreferrer">Bayesian Networks in R with Applications in Systems Biology</a></em>, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre (<a href="http://www.bnlearn.com/book-useR/" rel="noopener noreferrer">website</a>; 2013).</li>
</ul>
<h3><p>Books / Software-specific</p>
</h3>
<ul>
<li><em><a href="https://code.google.com/archive/p/graphbook/" rel="noopener noreferrer">Algorithmic Graph Theory and Sage</a></em>, by David Joyner, Minh Van Nguyen, and David Phillips - Full book online (2013).</li>
</ul>
<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0745654207.html" rel="noopener noreferrer">Communities and Networks: Using Social Network Analysis to Rethink Urban and Community Studies</a></em>, by Katherine Giuffre (2013).</li>
</ul>
<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://appliednetsci.springeropen.com/" rel="noopener noreferrer">Applied Network Science</a></em> (Springer Open).</li>
</ul>
<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="http://uscann.tumblr.com/" rel="noopener noreferrer">Annenberg Networks Network (ANN)</a> - Research group studying social networks at the University of Southern California.</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://www.cnn.group.cam.ac.uk/" rel="noopener noreferrer">Cambridge Networks Network (CNN)</a> - Research network on complex networks.</li>
</ul>
<h3><p>Review Articles / Network Modeling</p>
</h3>
<ul>
<li><a href="http://www.stat.cmu.edu/~brian/780/hw01/Fienberg%20(2012)%20A%20Brief%20History%20of%20Statistical%20Models%20for%20Network%20Analysis%20and%20Open%20Challenges.pdf" rel="noopener noreferrer">A Brief History of Statistical Models for Network Analysis and Open Challenges</a> (<em>Journal of Computational and Graphical Statistics</em>, 2012).</li>
</ul>
<h3><p>Review Articles / Network Visualization</p>
</h3>
<ul>
<li><a href="https://www.academia.edu/17565685/Explorations_into_the_Visualization_of_Policy_Networks" rel="noopener noreferrer">Explorations into the Visualization of Policy Networks</a> (<em>Journal of Theoretical Politics</em>, 1999).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://www.esri.com/software/arcgis/extensions/networkanalyst" rel="noopener noreferrer">ArcGIS Network Analyst</a> - Network-based spatial analysis software for solving complex routing problems.</li>
</ul>
<h3><p>Software / Algorithms</p>
</h3>
<ul>
<li><a href="https://github.com/clojure/algo.graph" rel="noopener noreferrer">algo.graph (⭐16)</a> - Basic graph theory algorithms written in Clojure.</li>
</ul>
<h3><p>Software / C / C++</p>
</h3>
<ul>
<li><a href="https://sites.google.com/site/santofortunato/inthepress2" rel="noopener noreferrer">Benchmark Graphs to Test Community Detection Algorithms</a> - C++ code to generate weighted and unweighted graphs.</li>
</ul>
<h3><p>Software / MATLAB</p>
</h3>
<ul>
<li><a href="https://sites.google.com/site/bctnet/" rel="noopener noreferrer">Brain Connectivity Toolbox</a> - Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects.</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="http://graph-tool.skewed.de/" rel="noopener noreferrer">graph-tool</a> - Python module for network manipulation and analysis, written mostly in C++ for speed.</li>
</ul>
<h3><p>Software / Stata</p>
</h3>
<ul>
<li><a href="https://nwcommands.wordpress.com/" rel="noopener noreferrer">nwcommands: Network Analysis Using Stata</a> (<a href="http://www.statalist.org/forums/forum/general-stata-discussion/general/1290963-network-analysis-which-command-to-use" rel="noopener noreferrer">discussion</a>, <a href="https://nwcommands.wordpress.com/tutorials-and-slides/" rel="noopener noreferrer">tutorials and slides</a>).</li>
</ul>
<h3><p>Software / Syntaxes</p>
</h3>
<ul>
<li><a href="http://www.graphviz.org/doc/info/lang.html" rel="noopener noreferrer">DOT</a> - Graph drawing syntax used by the Graphviz software.</li>
</ul>
<h3><p>Software / Tutorials</p>
</h3>
<ul>
<li><a href="http://kateto.net/sunbelt2016" rel="noopener noreferrer">Basic and Advanced Network Visualization with Gephi and R</a> (2016).</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="http://www.k-government.com/2016/06/28/100-herramientas-analisis-redes-sna-ars/" rel="noopener noreferrer">+100 herramientas para el análisis de redes sociales</a> - Long list of diverse applications of network analysis, with shorts descriptions in Spanish.</li>
</ul>
<h3><p>Varia / Blog Series</p>
</h3>
<ul>
<li><a href="http://archaeologicalnetworks.wordpress.com/" rel="noopener noreferrer">Archaeological Networks</a> - Tom Brughmans’ blog, aimed at archaeologists and historians.</li>
</ul>
<h3><p>Varia / Fictional Networks</p>
</h3>
<ul>
<li><a href="http://varianceexplained.org/r/love-actually-network/" rel="noopener noreferrer">Analyzing Networks of Characters in <em>Love Actually</em></a> - Features a cluster analysis and a <a href="https://dgrtwo.shinyapps.io/love-actually-network/" rel="noopener noreferrer">Shiny app</a> (using R + Shiny).</li>
</ul>
<h3><p>Varia / Small Worlds</p>
</h3>
<ul>
<li><a href="http://wwwp.oakland.edu/enp/" rel="noopener noreferrer">The Erdös Number Project</a> - Research project on the collaborative ties and network distance between mathematicians.</li>
</ul>

<ul>
<li><a href="https://medium.com/@duncanjwatts/how-small-is-the-world-really-736fa21808ba#.kyr90lhyo" rel="noopener noreferrer">How Small is the World, Really?</a> - Discussion of “<em>x</em> degrees of separation” small-world experiments.</li>
</ul>

<ul>
<li><a href="https://oracleofbacon.org/" rel="noopener noreferrer">The Oracle of Bacon</a> - Based on an <a href="https://en.wikipedia.org/wiki/Six_Degrees_of_Kevin_Bacon" rel="noopener noreferrer">online game</a> that resulted in a <a href="http://www.sixdegrees.org/" rel="noopener noreferrer">charity</a>.</li>
</ul>

<ul>
<li><a href="https://www.cornell.edu/video/six-degrees-of-separation-panel" rel="noopener noreferrer">Panel: Six Degrees of Separation</a> - Video of a conference at Cornell University, featuring Duncan J. Watts, Steven H. Strogatz, Jon Kleinberg and other speakers.</li>
</ul>

<ul>
<li><a href="http://badhessian.org/2013/09/patterns-in-the-ivy-the-small-world-of-metal/" rel="noopener noreferrer">Patterns in the Ivy: The Small World of Metal</a> - Example of a two-mode network analysis based on metal artists and bands.</li>
</ul>

<ul>
<li><a href="http://sixdegreesoffrancisbacon.com/" rel="noopener noreferrer">Six Degrees of Francis Bacon</a> - Interactive visualization of a well-documented early modern historical network.</li>
</ul>

<ul>
<li><a href="https://en.wikipedia.org/wiki/Six_degrees_of_separation" rel="noopener noreferrer">Six Degrees of Separation</a> - Wikipedia English entry.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/13/"/>
    <summary>29 awesome projects updated on Mar 27 - Apr 02, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/12/</id>
    <title>Awesome Network Analysis Updates on Mar 20 - Mar 26, 2017</title>
    <updated>2017-03-26T23:46:21.000Z</updated>
    <published>2017-03-26T23:28:41.000Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="http://www.skylercranmer.net/niss-lab/" rel="noopener noreferrer">Network Interdependence in Social Systems</a> (NISS Lab) - Led by Skyler J. Cranmer at Ohio State University.</li>
</ul>
<h3><p>Review Articles / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://www.cambridge.org/core/journals/international-organization/article/div-classtitlenetwork-analysis-for-international-relationsdiv/DE2910979C1B5C44C4CC13F336C5DE97" rel="noopener noreferrer">Network Analysis for International Relations</a> (<em>International Organization</em>, 2009).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/12/"/>
    <summary>2 awesome projects updated on Mar 20 - Mar 26, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/11/</id>
    <title>Awesome Network Analysis Updates on Mar 13 - Mar 19, 2017</title>
    <updated>2017-03-14T08:40:22.000Z</updated>
    <published>2017-03-14T07:42:02.000Z</published>
    <content type="html"><![CDATA[<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://arcs.episciences.org/" rel="noopener noreferrer">ARCS – Analyse de réseaux pour les sciences sociales / Network Analysis for the Social Sciences</a></em>, in English and in French (<a href="https://arshs.hypotheses.org/" rel="noopener noreferrer">GDR ARSHS</a>).</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="https://arshs.hypotheses.org/" rel="noopener noreferrer">GDR Analyse de réseaux en sciences humaines et sociales</a> – French research group with funds to support training and workshops on network analysis for social scientists.</li>
</ul>
<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://graphology.github.io/" rel="noopener noreferrer">Graphology</a> - Specification and reference implementation for a robust and multipurpose JavaScript <code>Graph</code> object.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="http://yro.ch/centrality-measures-signature-roles-rousseaus-les-confessions/" rel="noopener noreferrer">Centrality Measures as a Signature of Roles in Rousseau’s <em>Les Confessions</em></a> - Analysis of a real-world character network.</li>
</ul>

<ul>
<li><a href="http://ogp.me/" rel="noopener noreferrer">Open Graph protocol</a> - A proposed standard to turn any Web page into a “social graph object.”</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/11/"/>
    <summary>5 awesome projects updated on Mar 13 - Mar 19, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/4/</id>
    <title>Awesome Network Analysis Updates on Jan 23 - Jan 29, 2017</title>
    <updated>2017-01-26T22:39:48.000Z</updated>
    <published>2017-01-26T22:39:48.000Z</published>
    <content type="html"><![CDATA[<h3><p>Courses / Topic-specific</p>
</h3>
<ul>
<li><a href="http://dennisfeehan.org/teaching/201701_demog260.html" rel="noopener noreferrer">Social Networks</a>, by Dennis M. Feehan (University of Berkeley, 2017).</li>
</ul>
<h3><p>Review Articles / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://repository.upenn.edu/psc_working_papers/41/" rel="noopener noreferrer">The Social and the Sexual: Networks in Contemporary Demographic Research</a> (PSC Working Paper Series, 2013).</li>
</ul>
<h3><p>Selected Papers / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://science.sciencemag.org/content/325/5939/414" rel="noopener noreferrer">Revisiting the Foundations of Network Analysis</a>, by Carter T. Butts - On choosing the right network representation to frame a research problem.</li>
</ul>
<h3><p>Varia / Network Science</p>
</h3>
<ul>
<li><a href="https://www.cornell.edu/video/emergence-of-network-science" rel="noopener noreferrer">The Emergence of Network Science</a> - Video documentary, featuring Steven H. Strogatz and many others.</li>
</ul>

<ul>
<li><a href="http://www.nature.com/nature/journal/v445/n7127/full/445489a.html" rel="noopener noreferrer">A Twenty-First Century Science</a> - Essay by Duncan J. Watts.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/4/"/>
    <summary>5 awesome projects updated on Jan 23 - Jan 29, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/2/</id>
    <title>Awesome Network Analysis Updates on Jan 09 - Jan 15, 2017</title>
    <updated>2017-01-13T17:40:38.000Z</updated>
    <published>2017-01-12T16:05:50.000Z</published>
    <content type="html"><![CDATA[<h3><p>Review Articles / Archeological and Historical Networks</p>
</h3>
<ul>
<li><a href="http://programminghistorian.org/lessons/creating-network-diagrams-from-historical-sources" rel="noopener noreferrer">From Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources</a> (<em>Programming Historian</em>, 2015).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://www.kintip.net/" rel="noopener noreferrer">PUCK - Program for the Use and Computation of Kinship data</a> - Cross-platform Java program for genealogical network analysis.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://cvcedhlab.hypotheses.org/106" rel="noopener noreferrer">Cheat Sheet: Social Network Analysis for Humanists</a> - Basic notions to remember when assembling and manipulating network data.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/2/"/>
    <summary>3 awesome projects updated on Jan 09 - Jan 15, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2017/1/</id>
    <title>Awesome Network Analysis Updates on Jan 02 - Jan 08, 2017</title>
    <updated>2017-01-07T11:16:52.000Z</updated>
    <published>2017-01-02T04:14:50.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Classics</p>
</h3>
<ul>
<li><em><a href="https://uk.sagepub.com/en-gb/eur/social-network-analysis/book249668" rel="noopener noreferrer">Social Network Analysis</a></em>, by John Scott (2017).</li>
</ul>
<h3><p>Books / Graph Theory</p>
</h3>
<ul>
<li><em><a href="http://press.princeton.edu/titles/10314.html" rel="noopener noreferrer">The Fascinating World of Graph Theory</a></em>, by Arthur Benjamin, Gary Chartrand and Ping Zhang (2015).</li>
</ul>

<ul>
<li><em><a href="https://www.springer.com/us/book/9781846289699" rel="noopener noreferrer">Graph Theory</a></em>, by John A. Bondy and Uppaluri S.R. Murty (2008).</li>
</ul>

<ul>
<li><em><a href="http://diestel-graph-theory.com/" rel="noopener noreferrer">Graph Theory</a></em>, by Reinhard Diestel - Full book online, also in Chinese and German (2016).</li>
</ul>

<ul>
<li><em><a href="http://www.dtic.mil/dtic/tr/fulltext/u2/705364.pdf" rel="noopener noreferrer">Graph Theory</a></em>, by Frank Harary - Full book online (1969).</li>
</ul>

<ul>
<li><em><a href="https://www.crcpress.com/Graphs--Digraphs-Sixth-Edition/Chartrand-Lesniak-Zhang/p/book/9781498735766" rel="noopener noreferrer">Graphs &amp; Digraphs</a></em>, by Gary Chartrand, Linda Lesniak and Ping Zhang (2016).</li>
</ul>

<ul>
<li><em><a href="https://www.whitman.edu/mathematics/cgt_online/cgt.pdf" rel="noopener noreferrer">Introduction to Combinatorics and Graph Theory</a></em>, by David Guichard - Full book online (2016).</li>
</ul>

<ul>
<li><em><a href="https://www.springer.com/us/book/9780387984889" rel="noopener noreferrer">Modern Graph Theory</a></em>, by Belá Bollobás (1998).</li>
</ul>
<h3><p>Books / Software-specific</p>
</h3>
<ul>
<li><em><a href="https://sites.google.com/site/analyzingsocialnetworks/" rel="noopener noreferrer">Analyzing Social Networks</a></em> (using UCINET), by Stephen P. Borgatti, Martin G. Everett and Jeffrey C. Johnson (2013).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://tulip.labri.fr/" rel="noopener noreferrer">Tulip</a> - Cross-platform network analysis and visualization framework built on top of a C++ library, with plugins dedicated to specific biological and physical networks. Also available through its <a href="http://tulip.labri.fr/Documentation/current/tulip-python/html/index.html" rel="noopener noreferrer">Python package</a>.</li>
</ul>

<ul>
<li><a href="http://unison.sleonard.co.uk/" rel="noopener noreferrer">UNISoN</a> - Cross-platform program to download and visualize Usenet data. <a href="https://github.com/leonarduk/unison/wiki/MSc-Report-Abstract" rel="noopener noreferrer">Developed for a Masters degree (⭐6)</a>.</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://bioconductor.org/packages/3.3/bioc/html/RCy3.html" rel="noopener noreferrer">RCy3</a> - Interface between R and recent versions of Cytoscape.</li>
</ul>

<ul>
<li><a href="https://bioconductor.org/packages/release/bioc/html/RCyjs.html" rel="noopener noreferrer">RCyjs</a> - Interface between R and Cytoscape.js.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2017/1/"/>
    <summary>13 awesome projects updated on Jan 02 - Jan 08, 2017</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/52/</id>
    <title>Awesome Network Analysis Updates on Dec 26 - Jan 01, 2016</title>
    <updated>2017-01-01T18:32:25.000Z</updated>
    <published>2016-12-28T20:22:35.000Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="https://www.northeastern.edu/research/centers/center-for-complex-network-research-ccnr/" rel="noopener noreferrer">Northeastern University Center for Complex Network Research</a> - Led by Albert-László Barabási.</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://www.swansea.ac.uk/medicine/enterpriseandinnovation/networkscienceresearchcentre/" rel="noopener noreferrer">Network Science Research Centre, Swansea University</a>.</li>
</ul>
<h3><p>Software / Julia</p>
</h3>
<ul>
<li><a href="https://github.com/PoisotLab/EcologicalNetwork.jl" rel="noopener noreferrer">EcologicalNetwork.jl (⭐69)</a> - Package to compute measures of ecological network structures.</li>
</ul>

<ul>
<li><a href="https://github.com/nassarhuda/MatrixNetworks.jl" rel="noopener noreferrer">MatrixNetworks.jl (⭐110)</a> - A method to handle graph/matrix/network structures.</li>
</ul>

<ul>
<li><a href="https://github.com/Azzaare/NetworkFlows.jl" rel="noopener noreferrer">NetworkFlows.jl (⭐3)</a> - Package of network flows algorithms.</li>
</ul>

<ul>
<li><a href="https://github.com/crsl4/PhyloNetworks.jl" rel="noopener noreferrer">PhyloNetworks.jl (⭐171)</a> - Package to manipulate, analyze and visualize phylogenetic networks.</li>
</ul>

<ul>
<li><a href="https://github.com/sisl/TikzGraphs.jl" rel="noopener noreferrer">TikzGraphs (⭐82)</a> - Package to create graph layouts using the TikZ graphics language.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://paolonegrini.wordpress.com/2012/11/19/network-map-of-knowledge-and-art/" rel="noopener noreferrer">Network Map of Knowledge and Art</a> - DBPedia-derived networks of who-was-influenced-by-whom directed ties, using SPARQL and Gephi.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/52/"/>
    <summary>8 awesome projects updated on Dec 26 - Jan 01, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/51/</id>
    <title>Awesome Network Analysis Updates on Dec 19 - Dec 25, 2016</title>
    <updated>2016-12-21T02:10:04.000Z</updated>
    <published>2016-12-21T02:10:04.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://www.springer.com/us/book/9783709107409" rel="noopener noreferrer">Network Analysis Literacy. A Practical Approach to the Analysis of Networks</a></em>, by Katharina A. Zweig (2016).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/51/"/>
    <summary>1 awesome projects updated on Dec 19 - Dec 25, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/49/</id>
    <title>Awesome Network Analysis Updates on Dec 05 - Dec 11, 2016</title>
    <updated>2016-12-07T12:30:38.000Z</updated>
    <published>2016-12-07T12:30:38.000Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://cmb.huma-num.fr/" rel="noopener noreferrer">Digital Humanities</a> - Interdisciplinary group of researchers at the Marc Bloch Centre in Berlin, with many network science projects.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/49/"/>
    <summary>1 awesome projects updated on Dec 05 - Dec 11, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/48/</id>
    <title>Awesome Network Analysis Updates on Nov 28 - Dec 04, 2016</title>
    <updated>2016-11-29T00:35:36.000Z</updated>
    <published>2016-11-29T00:35:36.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Software-specific</p>
</h3>
<ul>
<li><em><a href="https://global.oup.com/academic/product/data-science-and-complex-networks-9780199639601" rel="noopener noreferrer">Data Science and Complex Networks: Real Case Studies with Python</a></em>, by Guido Caldarelli and Alessandro Chessa (2016).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/48/"/>
    <summary>1 awesome projects updated on Nov 28 - Dec 04, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/46/</id>
    <title>Awesome Network Analysis Updates on Nov 14 - Nov 20, 2016</title>
    <updated>2016-11-18T12:53:53.000Z</updated>
    <published>2016-11-18T12:53:53.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="http://www.christoph-stadtfeld.com/netsim/" rel="noopener noreferrer">NetSim</a> - Simulate and combine micro-models to research their impact on the macro-features of social networks.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/46/"/>
    <summary>1 awesome projects updated on Nov 14 - Nov 20, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/45/</id>
    <title>Awesome Network Analysis Updates on Nov 07 - Nov 13, 2016</title>
    <updated>2016-11-13T02:04:45.000Z</updated>
    <published>2016-11-13T02:04:45.000Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="http://www.networkscienceinstitute.org/" rel="noopener noreferrer">Northeastern University Network Science Institute</a> - Features a PhD in Network Science program.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/45/"/>
    <summary>1 awesome projects updated on Nov 07 - Nov 13, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/44/</id>
    <title>Awesome Network Analysis Updates on Oct 31 - Nov 06, 2016</title>
    <updated>2016-11-06T18:10:28.000Z</updated>
    <published>2016-10-31T17:05:54.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="https://www.researchgate.net/publication/308874807_Dynamical_networks_in_psychology_More_than_a_pretty_picture" rel="noopener noreferrer">Dynamical Networks in Psychology: More Than A Pretty Picture?</a></em>, by Laura Bringmann (2016; PhD dissertation).</li>
</ul>
<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="https://usccana.github.io/" rel="noopener noreferrer">Center for Applied Network Analysis (CANA)</a> - Research group based at the University of Southern California School of Medicine.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/44/"/>
    <summary>2 awesome projects updated on Oct 31 - Nov 06, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/43/</id>
    <title>Awesome Network Analysis Updates on Oct 24 - Oct 30, 2016</title>
    <updated>2016-10-29T14:30:54.000Z</updated>
    <published>2016-10-29T14:30:54.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://networkcanvas.com/" rel="noopener noreferrer">Network Canvas</a> - A free and open-source set of survey tools for ego-centric and personal network studies, including <a href="https://documentation.networkcanvas.com" rel="noopener noreferrer">documentation</a> and a <a href="https://community.networkcanvas.com" rel="noopener noreferrer">user community</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/43/"/>
    <summary>1 awesome projects updated on Oct 24 - Oct 30, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/38/</id>
    <title>Awesome Network Analysis Updates on Sep 19 - Sep 25, 2016</title>
    <updated>2016-09-19T17:42:36.000Z</updated>
    <published>2016-09-19T17:42:36.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://github.com/graphistry/pygraphistry" rel="noopener noreferrer">PyGraphistry (⭐2.5k)</a> - Python library to extract, transform, and visually explore big graphs.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/38/"/>
    <summary>1 awesome projects updated on Sep 19 - Sep 25, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/36/</id>
    <title>Awesome Network Analysis Updates on Sep 05 - Sep 11, 2016</title>
    <updated>2016-09-09T14:10:49.000Z</updated>
    <published>2016-09-05T07:28:33.000Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://networkdynamics.org/" rel="noopener noreferrer">Network Dynamics</a> - Research Lab at McGill University, led by <a href="http://www.derekruths.com/" rel="noopener noreferrer">Derek Ruths</a></li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://vis.stanford.edu/jheer/projects/vizster/" rel="noopener noreferrer">Vizster</a> - Cross-platform Java program to visualize online social networks.</li>
</ul>
<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="http://www.tobiasstark.nl/GENSI/GENSI.htm" rel="noopener noreferrer">GENSI</a> - JavaScript graphical tool to collect ego-centered network data (<a href="https://doi.org/10.1016/j.socnet.2016.07.007" rel="noopener noreferrer">paper</a>).</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="http://networkslab.org/metaknowledge/" rel="noopener noreferrer">metaknowledge</a> - Python package to turn bibliometrics data into authorship and citation networks.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="http://schochastics.net/sna/periodic.html" rel="noopener noreferrer">Periodic Table of Network Centrality</a> - Interactive periodic table of centrality indices.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/36/"/>
    <summary>5 awesome projects updated on Sep 05 - Sep 11, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/26/</id>
    <title>Awesome Network Analysis Updates on Jun 27 - Jul 03, 2016</title>
    <updated>2016-07-02T17:37:59.000Z</updated>
    <published>2016-07-02T17:37:59.000Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="https://dnac.ssri.duke.edu/" rel="noopener noreferrer">Duke Network Analysis Center</a>.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/26/"/>
    <summary>1 awesome projects updated on Jun 27 - Jul 03, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/22/</id>
    <title>Awesome Network Analysis Updates on May 30 - Jun 05, 2016</title>
    <updated>2016-05-30T06:12:03.000Z</updated>
    <published>2016-05-30T06:12:03.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="https://www.crcpress.com/Handbook-of-Graph-Drawing-and-Visualization/Tamassia/9781584884125" rel="noopener noreferrer">Handbook of Graph Drawing and Visualization</a></em>, edited by Roberto Tamassia (<a href="https://cs.brown.edu/~rt/gdhandbook/" rel="noopener noreferrer">chapter proofs</a>; 2013).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/22/"/>
    <summary>1 awesome projects updated on May 30 - Jun 05, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/21/</id>
    <title>Awesome Network Analysis Updates on May 23 - May 29, 2016</title>
    <updated>2016-05-28T11:14:12.000Z</updated>
    <published>2016-05-28T11:14:12.000Z</published>
    <content type="html"><![CDATA[<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="http://networkrepository.com/" rel="noopener noreferrer">Network Repository</a> - Fully searchable database containing hundreds of real-world networks.</li>
</ul>

<ul>
<li><a href="http://www.sociopatterns.org/datasets/" rel="noopener noreferrer">SocioPatterns Datasets</a> - Network data obtained through the <a href="http://www.sociopatterns.org/" rel="noopener noreferrer">SocioPatterns</a> sensing platform.</li>
</ul>

<ul>
<li><a href="https://sites.google.com/site/ucinetsoftware/datasets" rel="noopener noreferrer">UCINET Datasets</a> - Network data in UCINET format.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/21/"/>
    <summary>3 awesome projects updated on May 23 - May 29, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/20/</id>
    <title>Awesome Network Analysis Updates on May 16 - May 22, 2016</title>
    <updated>2016-05-16T14:56:06.000Z</updated>
    <published>2016-05-16T14:56:06.000Z</published>
    <content type="html"><![CDATA[<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://datasciencegroup.pl/" rel="noopener noreferrer">Data Science Group</a> -  Wroclaw-based research group that studies, among many things, complex networks and other network-related topics.</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://spark.apache.org/graphx/" rel="noopener noreferrer">GraphX</a> - <a href="https://spark.apache.org/" rel="noopener noreferrer">Apache Spark</a> module to perform graph-related parallel computation.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/20/"/>
    <summary>2 awesome projects updated on May 16 - May 22, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/19/</id>
    <title>Awesome Network Analysis Updates on May 09 - May 15, 2016</title>
    <updated>2016-05-12T00:52:59.000Z</updated>
    <published>2016-05-12T00:52:59.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://www.polinode.com/" rel="noopener noreferrer">Polinode</a> - Web-based platform to both analyze network data as well as collect network data via relationship-based surveys.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/19/"/>
    <summary>1 awesome projects updated on May 09 - May 15, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/18/</id>
    <title>Awesome Network Analysis Updates on May 02 - May 08, 2016</title>
    <updated>2016-05-06T05:55:25.000Z</updated>
    <published>2016-05-06T05:55:25.000Z</published>
    <content type="html"><![CDATA[<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://lynksoft.com/" rel="noopener noreferrer">Lynks</a> - Web-based tool for simple network analysis and visualization.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/18/"/>
    <summary>1 awesome projects updated on May 02 - May 08, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/17/</id>
    <title>Awesome Network Analysis Updates on Apr 25 - May 01, 2016</title>
    <updated>2016-04-28T12:35:58.000Z</updated>
    <published>2016-04-28T12:31:40.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="https://global.oup.com/academic/product/understanding-social-networks-9780195379471" rel="noopener noreferrer">Understanding Social Networks. Theories, Concepts, and Findings</a></em>, by Charles Kadushin (2012).</li>
</ul>
<h3><p>Review Articles / Ethics of Network Analysis</p>
</h3>
<ul>
<li><a href="http://www.analytictech.com/borgatti/papers/ethics.pdf" rel="noopener noreferrer">Ethical and Strategic Issues in Organizational Social Network Analysis</a> (<em>The Journal of Applied Behavioral Science</em>, 2003).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://sourceforge.net/projects/egonet/" rel="noopener noreferrer">EgoNet</a> - Cross-platform Java program for ego network analysis.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/17/"/>
    <summary>3 awesome projects updated on Apr 25 - May 01, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/16/</id>
    <title>Awesome Network Analysis Updates on Apr 18 - Apr 24, 2016</title>
    <updated>2016-04-24T18:35:17.000Z</updated>
    <published>2016-04-18T00:25:30.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Dissemination</p>
</h3>
<ul>
<li><em><a href="http://books.wwnorton.com/books/Nexus/" rel="noopener noreferrer">Nexus. Small Worlds and the Groundbreaking Theory of Networks</a></em>, by Mark Buchanan (2003).</li>
</ul>

<ul>
<li><em><a href="http://books.wwnorton.com/books/detail.aspx?ID=7599" rel="noopener noreferrer">Six Degrees: The Science of a Connected Age</a></em>, by Duncan J. Watts (2003).</li>
</ul>
<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="https://www.springer.com/us/book/9781461461692" rel="noopener noreferrer">Encyclopedia of Social Network Analysis and Mining</a></em>, edited by Reda Alhajj and Jon Rokne (2014).</li>
</ul>
<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="http://www.cambridge.org/de/academic/subjects/sociology/sociology-general-interest/generalized-blockmodeling" rel="noopener noreferrer">Generalized Blockmodeling. Structural Analysis in the Social Sciences</a></em>, by Patrick Doreian, Vladimir Batagelj and Anuška Ferligoj (2004).</li>
</ul>

<ul>
<li><em><a href="http://www.lit-verlag.de/isbn/3-643-11705-2" rel="noopener noreferrer">Handbuch Historische Netzwerkforschung. Grundlagen und Anwendungen</a></em>, edited by Marten Düring <em>et al.</em>, in German (2016).</li>
</ul>

<ul>
<li><em><a href="https://uk.sagepub.com/en-gb/eur/an-introduction-to-exponential-random-graph-modeling/book237737" rel="noopener noreferrer">An Introduction to Exponential Random Graph Modeling</a></em>, by Jenine K. Harris (2014).</li>
</ul>

<ul>
<li><em><a href="http://www.transcript-verlag.de/978-3-8376-1311-7/knoten-und-kanten" rel="noopener noreferrer">Knoten und Kanten. Soziale Netzwerkanalyse in Wirtschafts- und Migrationsforschung</a></em>, edited by Markus Gamper and Linda Reschke, in German (2010).</li>
</ul>

<ul>
<li><em><a href="http://www.transcript-verlag.de/978-3-8376-1927-0/knoten-und-kanten-2.0" rel="noopener noreferrer">Knoten und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und Kulturanthropologie</a></em>, edited by Markus Gamper, Linda Reschke and Michael Schönhuth, in German (2012).</li>
</ul>

<ul>
<li><em><a href="https://www.springer.com/us/book/9783319067926" rel="noopener noreferrer">Multivariate Network Visualization</a></em>, edited by Andreas Kerren, Helen C. Purchase and Matthew O. Ward (2014).</li>
</ul>
<h3><p>Books / Software-specific</p>
</h3>
<ul>
<li><em><a href="http://www.cambridge.org/us/academic/subjects/sociology/research-methods-sociology-and-criminology/exploratory-social-network-analysis-pajek-2nd-edition" rel="noopener noreferrer">Exploratory Social Network Analysis with Pajek</a></em>, by Wouter de Nooy, Andrej Mrvar and Vladimir Batagelj (2011; also <a href="http://www.tdupress.jp/books/isbn978-4-501-54710-3.html" rel="noopener noreferrer">in Japanese</a> and <a href="http://product.dangdang.com/22927985.html" rel="noopener noreferrer">in Chinese</a>).</li>
</ul>

<ul>
<li><em><a href="https://www.packtpub.com/big-data-and-business-intelligence/gephi-cookbook" rel="noopener noreferrer">Gephi Cookbook</a></em> (2015).</li>
</ul>

<ul>
<li><em><a href="http://link.springer.com/book/10.1007/978-3-642-18638-7" rel="noopener noreferrer">Graph Drawing Software</a></em> (covering many programs), edited by Michael Jünger and Petra Mutzel (2004).</li>
</ul>

<ul>
<li><em><a href="https://www.packtpub.com/networking-and-servers/mastering-gephi-network-visualization" rel="noopener noreferrer">Mastering Gephi Network Visualization</a></em>, by Ken Cherven (2015).</li>
</ul>

<ul>
<li><em><a href="https://www.packtpub.com/big-data-and-business-intelligence/network-graph-analysis-and-visualization-gephi" rel="noopener noreferrer">Network Graph Analysis and Visualization with Gephi</a></em>, by Ken Cherven (2013).</li>
</ul>
<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://www.cambridge.org/ar/academic/subjects/politics-international-relations/comparative-politics/comparing-policy-networks-labor-politics-us-germany-and-japan" rel="noopener noreferrer">Comparing Policy Networks. Labor Politics in the U.S., Germany, and Japan</a></em>, by David Knoke <em>et al.</em> (1996).</li>
</ul>

<ul>
<li><em><a href="https://global.oup.com/academic/product/the-connected-past-9780198748519" rel="noopener noreferrer">The Connected Past. Challenges to Network Studies in Archaeology and History</a></em> edited by Tom Brughmans, Anna Collar and Fiona Coward (2016; <a href="http://connectedpast.net/" rel="noopener noreferrer">companion website</a>).</li>
</ul>

<ul>
<li><em><a href="http://moreno.ss.uci.edu/" rel="noopener noreferrer">The Development of Social Network Analysis: A Study in the Sociology of Science</a></em>, by Linton C. Freeman, in English and several other languages (2004; <a href="http://moreno.ss.uci.edu/91.pdf" rel="noopener noreferrer">follow-up paper, 2011</a>).</li>
</ul>

<ul>
<li><em><a href="https://www.springer.com/us/book/9780387095257" rel="noopener noreferrer">Inside Criminal Networks</a></em>, by Carlo Morselli (2009).</li>
</ul>

<ul>
<li><em><a href="http://www.cambridge.org/mx/academic/subjects/physics/statistical-physics/networks-social-policy-problems" rel="noopener noreferrer">Networks in Social Policy Problems</a></em>, edited by Balázs Vedres and Marco Scotti (2012).</li>
</ul>

<ul>
<li><em><a href="https://global.oup.com/academic/product/the-oxford-handbook-of-the-economics-of-networks-9780199948277" rel="noopener noreferrer">The Oxford Handbook of the Economics of Networks</a></em>, edited by Yann Bramoullé, Andrea Galeotti and Brian Rogers (2016).</li>
</ul>

<ul>
<li><em><a href="http://www.campus.de/buecher-campus-verlag/wissenschaft/politikwissenschaft/policy_debates_as_dynamic_networks-10287.html" rel="noopener noreferrer">Policy Debates as Dynamic Networks: German Pension Politics and Privatization Discourse</a></em>, by Philip Leifeld (2016).</li>
</ul>

<ul>
<li><em><a href="https://global.oup.com/academic/product/theories-of-communication-networks-9780195160376" rel="noopener noreferrer">Theories of Communication Networks</a></em>, by Peter Monge and Nosh Contractor (2003).</li>
</ul>

<ul>
<li><em><a href="http://www.kulturverlag-kadmos.de/buch/die-verbundenheit-der-dinge.html" rel="noopener noreferrer">Die Verbundenheit der Dinge. Eine Kulturgeschichte der Netze und Netzwerke [The Connectedness of Things. A Cultural History of Nets and Networks]</a></em>, by Sebastian Gießmann, in German (2014).</li>
</ul>

<ul>
<li><em><a href="http://www.degruyter.com/view/product/432196" rel="noopener noreferrer">Verdeckte soziale Netzwerke im Nationalsozialismus. Die Entstehung und Arbeitsweise von Berliner Hilfsnetzwerken für verfolgte Juden [Hidden Social Networks in National Socialism: The origins and working methods of Berlin assistance networks for persecuted Jews]</a></em>, by Marten Düring, in German (2015; <a href="http://martenduering.com/research/covert-networks-during-the-holocaust/" rel="noopener noreferrer">related publications</a> and <a href="https://www.youtube.com/watch?v=SlQ7stSU-9w" rel="noopener noreferrer">video presentation in English</a>).</li>
</ul>
<h3><p>Conferences / Topic-specific</p>
</h3>
<ul>
<li><a href="http://complenet.org/" rel="noopener noreferrer">CompleNet - International Workshop on Complex Networks</a>.</li>
</ul>

<ul>
<li><a href="http://www.graphdrawing.org/symposia.html" rel="noopener noreferrer">GD - International Symposium on Graph Drawing and Network Visualization</a>.</li>
</ul>

<ul>
<li><a href="http://www.insna.org/archives.html" rel="noopener noreferrer">Sunbelt - Social Networks Conference of the International Network for Social Network Analysis</a> - Organized by the International Network for Social Network Analysis (INSNA).</li>
</ul>
<h3><p>Courses / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.personal.psu.edu/cxg286/Math485.pdf" rel="noopener noreferrer">Graph Theory (Mathematics)</a>, by Christopher Griffin - Full lecture notes (Penn State University, 2012).</li>
</ul>

<ul>
<li><a href="http://www.cc.gatech.edu/~dovrolis/Courses/NetSci/" rel="noopener noreferrer">Network Science (Computer Science)</a>, by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015).</li>
</ul>

<ul>
<li><a href="http://mrvar.fdv.uni-lj.si/sola/info4/" rel="noopener noreferrer">Social Network Analysis with Pajek</a>, by Andrej Mrvar (University of Ljubljana, 2016).</li>
</ul>
<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="https://github.com/briatte/parlnet" rel="noopener noreferrer">Bill Cosponsorship Networks in European Parliaments (⭐17)</a> - Legislative cosponsorship networks, in R format.</li>
</ul>

<ul>
<li><a href="http://math.bu.edu/people/kolaczyk/datasets.html" rel="noopener noreferrer">Eric D. Kolaczyk’s Network Datasets</a>.</li>
</ul>

<ul>
<li><a href="http://konect.uni-koblenz.de/" rel="noopener noreferrer">KONECT - The Koblenz Network Collection</a> - Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub (<a href="https://arxiv.org/abs/1402.5500" rel="noopener noreferrer">companion handbook</a>).</li>
</ul>

<ul>
<li><a href="http://moreno.ss.uci.edu/data.html" rel="noopener noreferrer">Linton Freeman’s Network Data</a> - Over 300 datasets of all sorts, in UCINET format.</li>
</ul>

<ul>
<li><a href="http://mangal.io/" rel="noopener noreferrer">Mangal</a> - Online platform to analyze, archive and share ecological network data (<a href="https://doi.org/10.1101/002634" rel="noopener noreferrer">preprint</a>, <a href="https://github.com/mangal-wg/pymangal" rel="noopener noreferrer">Python package (⭐2)</a>, <a href="https://github.com/mangal-wg/rmangal" rel="noopener noreferrer">R package (⭐16)</a>).</li>
</ul>

<ul>
<li><a href="http://www-personal.umich.edu/~mejn/netdata/" rel="noopener noreferrer">Mark E.J. Newman’s Network Data</a> (<a href="http://www-personal.umich.edu/~mejn/networks/" rel="noopener noreferrer">example visualizations</a>).</li>
</ul>

<ul>
<li><a href="http://www.boardsandgender.com/data.php" rel="noopener noreferrer">Norwegian Interlocking Directorate, 2002-2011</a> - Two-mode and one-mode data on gender representation in Norwegian firms.</li>
</ul>

<ul>
<li><a href="https://toreopsahl.com/datasets/" rel="noopener noreferrer">tnet Datasets</a> - Weighted network data.</li>
</ul>
<h3><p>Professional Groups / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.netscisociety.net/" rel="noopener noreferrer">NetSci - Network Science Society</a>.</li>
</ul>
<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="http://www.brighamandwomens.org/research/depts/medicine/channing/default.aspx" rel="noopener noreferrer">Channing Division of Network Medicine</a> - Research division within the Department of Medicine at Brigham and Women’s Hospital.</li>
</ul>

<ul>
<li><a href="http://mucha.web.unc.edu/networks/" rel="noopener noreferrer">Peter J. Mucha’s Research Group at the University of North Carolina at Chapel Hill</a>.</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://www.complexnetworks.fr/" rel="noopener noreferrer">Complex Networks</a> - Research group based in Paris.</li>
</ul>

<ul>
<li><a href="http://www.netzwerk-exzellenz.uni-trier.de/" rel="noopener noreferrer">Forschungscluster der Universitäten Trier und Mainz “Gesellschaftliche Abhängigkeiten und soziale Netzwerke”</a>, in German.</li>
</ul>

<ul>
<li><a href="http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/" rel="noopener noreferrer">MelNet Social Network Research Group, Swinburne University of Technology</a>.</li>
</ul>

<ul>
<li><a href="http://netzwerkerei.org/" rel="noopener noreferrer">Netzwerkerei</a> - Historical research project on the connections between Jewish intellectuals.</li>
</ul>

<ul>
<li><a href="http://www.redes-sociales.net/" rel="noopener noreferrer">Redes-Sociales</a>, in Spanish - Information network based at the Universitat Autònoma de Barcelona.</li>
</ul>

<ul>
<li><a href="http://www.sonarcenter.eco.usi.ch/" rel="noopener noreferrer">SoNAR-C - Social Network Analysis Research Center, University of Italian Switzerland (USi)</a>.</li>
</ul>

<ul>
<li><a href="https://oeaw.academia.edu/TopographiesofEntanglements" rel="noopener noreferrer">Topographies of Entanglements. Mapping Medieval Networks</a> - Research platform based at the Austrian Academy of Sciences that focuses on applying network theory and visualisation to medieval history.</li>
</ul>

<ul>
<li><a href="http://vosonlab.net/" rel="noopener noreferrer">Virtual Observatory for the Study of Online Networks (VOSON)</a> - Research and software development project located at the Australian National University.</li>
</ul>
<h3><p>Review Articles / Archeological and Historical Networks</p>
</h3>
<ul>
<li><a href="http://www.studienverlag.at/data.cfm?vpath=openaccess/oezg-12012-lemercier&amp;download=yes" rel="noopener noreferrer">Formale Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und Wie? [Formal Network Methods in History: Why and How?]</a>, in German (<a href="https://shs.hal.science/halshs-00521527" rel="noopener noreferrer">preprint in English</a>; <em>Österreichische Zeitschrift für Geschichtswissenschaften</em>, 2012).</li>
</ul>

<ul>
<li><a href="https://www.academia.edu/6925120/Brughmans_T._2014_._The_roots_and_shoots_of_archaeological_network_analysis_A_citation_analysis_and_review_of_the_archaeological_use_of_formal_network_methods._Archaeological_Review_from_Cambridge_29_1_" rel="noopener noreferrer">The Roots and Shoots of Archaeological Network Analysis: A Citation Analysis and Review of the Archaeological Use of Formal Network Methods</a> (<em>Archaeological Review from Cambridge</em>, 2014).</li>
</ul>
<h3><p>Review Articles / Network Modeling</p>
</h3>
<ul>
<li><a href="https://dl.acm.org/citation.cfm?id=1734795" rel="noopener noreferrer">A Survey of Statistical Network Models</a> - Book-length review (<a href="https://arxiv.org/abs/0912.5410" rel="noopener noreferrer">preprint</a>; <em>Foundations and Trends in Machine Learning</em>, 2010).</li>
</ul>
<h3><p>Review Articles / Network Visualization</p>
</h3>
<ul>
<li><a href="http://moreno.ss.uci.edu/87.pdf" rel="noopener noreferrer">Graphical Techniques for Exploring Social Network Data</a> (<em>Models and Methods in Social Network Analysis</em>, 2005).</li>
</ul>

<ul>
<li><a href="http://moreno.ss.uci.edu/90.pdf" rel="noopener noreferrer">Methods of Social Network Visualization</a> (<em>Encyclopedia of Complexity and Systems Science</em>, 2009; <a href="http://www.pfeffer.at/data/visposter/" rel="noopener noreferrer">poster version</a>).</li>
</ul>

<ul>
<li><a href="http://moreno.ss.uci.edu/93.pdf" rel="noopener noreferrer">Social Networks</a> (<em>Handbook of Graph Drawing and Visualization</em>, 2013).</li>
</ul>
<h3><p>Selected Papers / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831261/" rel="noopener noreferrer">Birds of a Feather, Or Friend of a Friend? Using Exponential Random Graph Models to Investigate Adolescent Social Networks</a>, by Steven M. Goodreau, James A. Kitts and Martina Morris - Accessible introduction to the logic and application of exponential random graph modeling (<em>Demography</em>, 2001).</li>
</ul>

<ul>
<li><a href="http://www.soc.duke.edu/~jmoody77/chains.pdf" rel="noopener noreferrer">Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks</a>, by Peter S. Bearman, James Moody and Katherine Stovel - Classic example of topological network analysis applied to a network of affective and sexual ties (<em>American Journal of Sociology</em>, 2004).</li>
</ul>

<ul>
<li><a href="https://www.cs.cornell.edu/home/kleinber/cacm08.pdf" rel="noopener noreferrer">The Convergence of Social and Technological Networks</a>, by Jon Kleinberg - Discusses small-world effects and social contagion within the context of the Internet and social media (<em>Communications of the ACM</em>, 2008).</li>
</ul>

<ul>
<li><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3328971/" rel="noopener noreferrer">Homophily and Contagion Are Generically Confounded in Observational Social Network Studies</a>, by Cosma R. Shalizi and Andrew C. Thomas - Makes a very important point for the analysis of network diffusion and influence (<em>Sociological Methods and Research</em>, 2011).</li>
</ul>

<ul>
<li><a href="https://sydney.edu.au/intellectual-history/documents/moretti_network_theory_plot_analysis.pdf" rel="noopener noreferrer">Network Theory, Plot Analysis</a>, by Franco Moretti - Example applications of (fictional) network analysis in literary studies (<em>New Left Review</em>, 2011).</li>
</ul>

<ul>
<li><a href="http://link.springer.com/chapter/10.1007/978-94-007-6094-3_17" rel="noopener noreferrer">Social Networks and Causal Inference</a>, by Tyler J. VanderWeele and Weihua An - Reviews the different ways in which network analysis can produce meaningful causal statements, as well as the inherent limits of network analysis for doing so (<em><a href="http://link.springer.com/book/10.1007/978-94-007-6094-3" rel="noopener noreferrer">Handbook of Causal Analysis for Social Research</a></em>, 2013).</li>
</ul>

<ul>
<li><a href="http://home.uchicago.edu/~jpadgett/papers/published/robust.pdf" rel="noopener noreferrer">Robust Action and the Rise of the Medici, 1400-1434</a>, by John F. Padgett and Christopher K. Ansell - Classic analysis of power relations in the Renaissance Florentine state (<em>American Journal of Sociology</em>, 1993).</li>
</ul>

<ul>
<li><a href="https://sociology.stanford.edu/sites/default/files/publications/the_strength_of_weak_ties_and_exch_w-gans.pdf" rel="noopener noreferrer">The Strength of Weak Ties</a>, by Mark Granovetter - Arch-classic example of applying network analysis to a social issue: jobseeking (<em>American Journal of Sociology</em>, 1973).</li>
</ul>

<ul>
<li><a href="http://www.stats.ox.ac.uk/~snijders/FlandreauJobst2005.pdf" rel="noopener noreferrer">The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910</a> (<em>The Journal of Economic History</em>, 2005) and <a href="https://doi.org/10.1111/j.1468-0297.2009.02219.x" rel="noopener noreferrer">The Empirics of International Currencies: Network Externalities, History and Persistence</a> (<em>The Economic Journal</em>, 2009), both by Marc Flandreau and Clemens Jobst - Network analysis of the foreign exchange system in the late 19th century (<a href="http://eh.net/database/international-currencies-1890-1910/" rel="noopener noreferrer">data</a>).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://www.cfinder.org/" rel="noopener noreferrer">CFinder</a> - Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM).</li>
</ul>

<ul>
<li><a href="http://circos.ca/" rel="noopener noreferrer">Circos</a> - Cross-platform program to produce circular layouts of network data, written in Perl.</li>
</ul>

<ul>
<li><a href="https://sites.google.com/site/enetsoftware1/" rel="noopener noreferrer">E-Net</a> - Windows program for ego network analysis.</li>
</ul>

<ul>
<li><a href="http://www.esyn.org/" rel="noopener noreferrer">easyN</a> - Online tool aimed at representing and sharing gene interaction networks as well as Petri net models.</li>
</ul>

<ul>
<li><a href="http://nodegoat.net/" rel="noopener noreferrer">Nodegoat</a> - Web-based data management, network analysis and visualisation environment (<a href="http://nodegoat.net/blog" rel="noopener noreferrer">blog</a>).</li>
</ul>

<ul>
<li><a href="http://www.swinburne.edu.au/fbl/research/transformative-innovation/our-research/MelNet-social-network-group/PNet-software/index.html" rel="noopener noreferrer">PNet</a> - Simulation and estimation of (one-mode and multilevel) exponential random graph models (ERGMs), written in Java for Windows.</li>
</ul>

<ul>
<li><a href="http://web.stanford.edu/group/sonia/" rel="noopener noreferrer">SoNIA - Social Network Image Animator</a> - Tool to visualize dynamic or longitudinal network data. Formerly a <a href="https://sourceforge.net/projects/sonia/" rel="noopener noreferrer">Java program</a> (<a href="http://www.soc.duke.edu/~jmoody77/NetMovies/index.htm" rel="noopener noreferrer">example movies</a>), now developed as the ndtv R package.</li>
</ul>

<ul>
<li><a href="http://www.spato.net/" rel="noopener noreferrer">SPaTo Visual Explorer</a> - Cross-platform program for the visualization and exploration of complex networks.</li>
</ul>

<ul>
<li><a href="http://www.gmw.rug.nl/~stocnet/StOCNET.htm" rel="noopener noreferrer">StOCNET</a> - Several Windows programs developed by the same team as Siena.</li>
</ul>
<h3><p>Software / Algorithms</p>
</h3>
<ul>
<li><a href="http://www.oslom.org/" rel="noopener noreferrer">OSLOM2 - Order Statistics Local Optimization Method</a> - Clustering algorithm.</li>
</ul>
<h3><p>Software / MATLAB</p>
</h3>
<ul>
<li><a href="http://www.levmuchnik.net/Content/Networks/ComplexNetworksPackage.html" rel="noopener noreferrer">Complex Networks Package for MatLab</a>.</li>
</ul>

<ul>
<li><a href="http://www.maths.strath.ac.uk/research/groups/numerical_analysis/contest" rel="noopener noreferrer">CONTEST</a> - Random network toolbox that implements nine network models.</li>
</ul>

<ul>
<li><a href="http://netwiki.amath.unc.edu/GenLouvain/GenLouvain" rel="noopener noreferrer">Generalized Louvain</a> - Variant of the Louvain community detection algorithm.</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://github.com/ike002jp/npartite" rel="noopener noreferrer">npartite (⭐12)</a> - Python algorithms for community detection in n-partite networks.</li>
</ul>

<ul>
<li><a href="http://vladowiki.fmf.uni-lj.si/doku.php?id=tq" rel="noopener noreferrer">TQ (Temporal Quantities)</a> - Python 3 library for temporal network analysis.</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://github.com/matthewjdenny/CCAS" rel="noopener noreferrer">CCAS (⭐5)</a> - Statistical model for communication networks.</li>
</ul>

<ul>
<li><a href="https://github.com/aslez/concoR" rel="noopener noreferrer">concoR (⭐9)</a> - Implementation of the CONCOR network blockmodeling algorithm (<a href="http://badhessian.org/2015/05/concor-in-r/" rel="noopener noreferrer">blog post</a>).</li>
</ul>

<ul>
<li><a href="https://github.com/matthewjdenny/ContentStructure" rel="noopener noreferrer">ContentStructure (⭐5)</a> - Implements an extension to the <a href="http://dirichlet.net/pdf/krafft12topic-partitioned.pdf" rel="noopener noreferrer">Topic-Partitioned Multinetwork Embeddings (TPME) model</a>.</li>
</ul>

<ul>
<li><a href="https://www.bioconductor.org/packages/release/bioc/html/lpNet.html" rel="noopener noreferrer">lpNet</a> - Linear programming model aimed at infering biological (signalling, gene) networks.</li>
</ul>

<ul>
<li><a href="http://people.bu.edu/jccs/spectralGOF.html" rel="noopener noreferrer">spectralGOF</a> - Computes the spectral goodness of fit (SGOF), a measure of how well a network model explains the structure of an observed network.</li>
</ul>
<h3><p>Software / Syntaxes</p>
</h3>
<ul>
<li><a href="http://graphml.graphdrawing.org/" rel="noopener noreferrer">GraphML</a> - Comprehensive and easy-to-use file format for graphs (<a href="https://www.uni-konstanz.de/mmsp/pubsys/publishedFiles/BrEiLe10.pdf" rel="noopener noreferrer">handbook chapter</a>).</li>
</ul>

<ul>
<li><a href="http://tulip.labri.fr/TulipDrupal/?q=tlp-file-format" rel="noopener noreferrer">TLP - Tulip Software Graph Format</a> - Graph syntax used by the Tulip software framework.</li>
</ul>

<ul>
<li><a href="http://neo4j.com/docs/stable/cypher-query-lang.html" rel="noopener noreferrer">Cypher</a> - Graph query language used by <a href="http://neo4j.com/" rel="noopener noreferrer">Neo4j</a>.</li>
</ul>
<h3><p>Software / Tutorials</p>
</h3>
<ul>
<li><a href="http://curleylab.psych.columbia.edu/netviz/" rel="noopener noreferrer">Interactive and Dynamic Network Visualization in R</a> and JavaScript libraries (2016).</li>
</ul>

<ul>
<li><a href="https://www.academia.edu/11450425/Nodegoat_and_Palladio_Introductory_Workshop_by_Emmanuelle_Chaze" rel="noopener noreferrer">Nodegoat and Palladio: Introductory Workshop</a> - Aimed at humanists (2015).</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://www.youtube.com/playlist?list=PLz79Il7EOvUJxdQ9r2IefFtr--BNkfOa7" rel="noopener noreferrer">Computer Technologies for the Historical Research of Intellectual Networks</a> - Series of videos by historians, featuring Marten Düring and Scott Weingart.</li>
</ul>

<ul>
<li><a href="https://thesocietypages.org/methods/2015/01/30/david-knoke-on-network-analysis/" rel="noopener noreferrer">David Knoke on Network Analysis</a> - 20-minute interview that discusses the uses and benefits of network analysis, drawing upon Knoke’s research on terrorist networks.</li>
</ul>

<ul>
<li><a href="http://moreno.ss.uci.edu/pubs.html" rel="noopener noreferrer">Linton C. Freeman’s Social Network Research Publications</a>, spanning from 1955 to today.</li>
</ul>

<ul>
<li><a href="http://republicofletters.stanford.edu/" rel="noopener noreferrer">Mapping the Republic of Letters</a> - Research project on early-modern scholarship (<a href="http://www.densitydesign.org/research/knot/" rel="noopener noreferrer">underlying software</a>).</li>
</ul>

<ul>
<li><a href="https://sites.google.com/a/binghamton.edu/netscied/home" rel="noopener noreferrer">NetSciEd - Network Science in Education</a> - International initiative aimed at improving network literacy.</li>
</ul>

<ul>
<li><a href="https://groups.google.com/forum/?hl=en-GB#!forum/the-networks-network" rel="noopener noreferrer">The Networks Network</a> - Mailing-list (mostly historians from the HNR network).</li>
</ul>

<ul>
<li><a href="https://cvcedhlab.hypotheses.org/125" rel="noopener noreferrer">Should I do Social Network Analysis?</a>.</li>
</ul>

<ul>
<li><a href="http://othes.univie.ac.at/12285/1/2010-10-14_0703857.pdf" rel="noopener noreferrer">Social Network Analysis in DBpedia</a> - Highly didactic Master’s dissertation, showing how to use SPARQL and Pajek.</li>
</ul>

<ul>
<li><a href="https://dlist.server.uni-frankfurt.de/mailman/listinfo/sna-de" rel="noopener noreferrer">SNA-DE Mailing-List</a>, in German.</li>
</ul>

<ul>
<li><a href="http://semanticweb.cs.vu.nl/R/sparql_hollywood/sparql_hollywood.html" rel="noopener noreferrer">SPARQL for R Tutorial - Hollywood Social Network Analysis</a> - Also uses Gephi.</li>
</ul>

<ul>
<li><a href="http://nealcaren.web.unc.edu/a-sociology-citation-network/" rel="noopener noreferrer">A Sociology Citation Network</a> and <a href="https://kieranhealy.org/blog/archives/2013/06/18/a-co-citation-network-for-philosophy/" rel="noopener noreferrer">A Co-citation Network for Philosophy</a> - Examples of scientific co-citation networks.</li>
</ul>

<ul>
<li><a href="http://www.visualcomplexity.com/vc/" rel="noopener noreferrer">Visual Complexity. An Exploration on Mapping Complex Networks</a> - Tons of beautiful network and tree visualizations (<a href="http://www.visualcomplexity.com/vc/book/" rel="noopener noreferrer">book</a>, also in Chinese and French).</li>
</ul>
<h3><p>Varia / Blog Series</p>
</h3>
<ul>
<li><a href="https://www.cs.unm.edu/~aaron/blog/archives/networks/index.htm" rel="noopener noreferrer">Blog Posts About Networks by Aaron Clauset</a>.</li>
</ul>

<ul>
<li><a href="http://bactra.org/weblog/cat_networks.html" rel="noopener noreferrer">Blog Posts About Networks by Cosma R. Shalizi</a>.</li>
</ul>

<ul>
<li>Blog posts about networks on <a href="http://www.r-bloggers.com/" rel="noopener noreferrer">R-Bloggers</a>, an aggregator of R blogs:<ul>
<li><a href="http://www.r-bloggers.com/?s=networks" rel="noopener noreferrer">Networks</a>.</li>
<li><a href="http://www.r-bloggers.com/?s=social+network+analysis" rel="noopener noreferrer">Social Network Analysis</a>.</li>
</ul>
</li>
</ul>
<h3><p>Varia / Fictional Networks</p>
</h3>
<ul>
<li><a href="http://badhessian.org/2012/09/lessons-on-exponential-random-graph-modeling-from-greys-anatomy-hook-ups/" rel="noopener noreferrer">Lessons on Exponential Random Graph Modeling from <em>Grey’s Anatomy</em> hook-ups</a> (using R).</li>
</ul>

<ul>
<li><a href="https://mboudour.github.io/2015/10/28/Shakespeare's-Macbeth-Network.html" rel="noopener noreferrer">Network Analysis of Shakespeare’s <em>Macbeth</em></a> (using Python).</li>
</ul>

<ul>
<li><a href="https://mboudour.github.io/2016/04/17/Arthur-Conan-Doyle's-A-Study-in-Scarlet-Network-&amp;-Trajectories.html" rel="noopener noreferrer">The Network and Trajectories of Transitions among Sentential Co-Occurrences of Characters of Arthur Conan Doyle’s <em>A Study in Scarlet</em></a> (using Python; <a href="https://github.com/mboudour/WordNets/blob/master/ArthurConanDoyle_AStudyInScarlet_Network%26Trajectories.ipynb" rel="noopener noreferrer">code (⭐6)</a>).</li>
</ul>

<ul>
<li><a href="http://evelinag.com/blog/2016/01-25-social-network-force-awakens/index.html" rel="noopener noreferrer"><em>Star Wars</em> Social Networks: The Force Awakens</a> - Also an example of a social network analysis written in F#.</li>
</ul>
<h3><p>Varia / Two-Mode Networks</p>
</h3>
<ul>
<li><a href="https://solomonmessing.wordpress.com/2012/09/30/working-with-bipartiteaffiliation-network-data-in-r/" rel="noopener noreferrer">Working with Bipartite/Affiliation Network Data in R</a> (2012).</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/16/"/>
    <summary>109 awesome projects updated on Apr 18 - Apr 24, 2016</summary>
  </entry>
  <entry>
    <id>https://www.trackawesomelist.com/2016/15/</id>
    <title>Awesome Network Analysis Updates on Apr 11 - Apr 17, 2016</title>
    <updated>2016-04-17T14:02:25.000Z</updated>
    <published>2016-04-11T08:37:42.000Z</published>
    <content type="html"><![CDATA[<h3><p>Books / Classics</p>
</h3>
<ul>
<li><em><a href="http://www.cambridge.org/ar/academic/subjects/sociology/sociology-general-interest/social-network-analysis-methods-and-applications" rel="noopener noreferrer">Social Network Analysis. Methods and Applications</a></em>, by Stanley Wasserman and Katherine Faust (1994).</li>
</ul>

<ul>
<li><em><a href="http://press.princeton.edu/titles/8114.html" rel="noopener noreferrer">The Structure and Dynamics of Networks</a></em>, edited by Mark E.J. Newman, Albert-László Barabási and Duncan J. Watts - 600 pages of classic network analysis articles (2006).</li>
</ul>
<h3><p>Books / General Overviews</p>
</h3>
<ul>
<li><em><a href="http://www.nap.edu/catalog/11516/network-science" rel="noopener noreferrer">Network Science</a></em>, by the U.S. National Research Council - Full book online (2005).</li>
</ul>

<ul>
<li><em><a href="http://eu.wiley.com/WileyCDA/WileyTitle/productCd-1118211014.html" rel="noopener noreferrer">Network Science: Theory and Practice</a></em>, by Ted G. Lewis (2011).</li>
</ul>

<ul>
<li><em><a href="http://www-personal.umich.edu/~mejn/networks-an-introduction/" rel="noopener noreferrer">Networks. An Introduction</a></em>, by Mark E.J. Newman (2010).</li>
</ul>

<ul>
<li><em><a href="https://www.puf.com/content/R%C3%A9seaux_sociaux_et_structures_relationnelles" rel="noopener noreferrer">Réseaux sociaux et structures relationnelles</a></em>, by Emmanuel Lazega, in French (2014).</li>
</ul>

<ul>
<li><em><a href="http://pierremerckle.fr/2011/02/sociologie-des-reseaux-sociaux/" rel="noopener noreferrer">Sociologie des réseaux sociaux</a></em>, by Pierre Mercklé, in French (2011).</li>
</ul>

<ul>
<li><em><a href="https://www.routledge.com/products/9780415458030" rel="noopener noreferrer">Social Networks: An Introduction</a></em>, by Jeroen Bruggeman (<a href="https://sites.google.com/site/introsocnet/" rel="noopener noreferrer">related material</a>; 2008).</li>
</ul>

<ul>
<li><em><a href="http://press.uchicago.edu/ucp/books/book/distributed/S/bo15475096.html" rel="noopener noreferrer">Studying Social Networks. A Guide to Empirical Research</a></em>, by Marina Hennig <em>et al.</em> (2013).</li>
</ul>
<h3><p>Books / Method-specific</p>
</h3>
<ul>
<li><em><a href="http://www.crcpress.com/product/isbn/9781482225587" rel="noopener noreferrer">Bayesian Networks with Examples in R</a></em>, by Marco Scutari and Jean-Baptiste Denis (<a href="http://www.bnlearn.com/book-crc/" rel="noopener noreferrer">website</a>; 2014).</li>
</ul>

<ul>
<li><em><a href="http://www.cambridge.org/9780521193566" rel="noopener noreferrer">Exponential Random Graph Models for Social Networks</a></em>, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013).</li>
</ul>

<ul>
<li><em><a href="https://www.springer.com/fr/book/9783319245188" rel="noopener noreferrer">Multilevel Network Analysis for the Social Sciences</a></em>, edited by Emmanuel Lazega and Tom A.B. Snijders (2016).</li>
</ul>

<ul>
<li><em><a href="https://www.springer.com/fr/book/9783540249795" rel="noopener noreferrer">Network Analysis: Methodological Foundations</a></em>, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005).</li>
</ul>

<ul>
<li><em><a href="http://www.cambridge.org/ar/academic/subjects/sociology/political-sociology/political-networks-structural-perspective" rel="noopener noreferrer">Political Networks. The Structural Perspective</a></em>, by David Knoke (1994).</li>
</ul>

<ul>
<li><em><a href="https://uk.sagepub.com/en-gb/eur/social-network-analysis-for-ego-nets/book240391" rel="noopener noreferrer">Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks</a></em>, by Nick Crossley <em>et al.</em> (2015).</li>
</ul>
<h3><p>Books / Software-specific</p>
</h3>
<ul>
<li><em><a href="http://faculty.ucr.edu/~hanneman/nettext/" rel="noopener noreferrer">Introduction to Social Network Methods</a></em> (using mostly UCINET), by Robert A. Hanneman and Mark Riddle - Full book online (2001).</li>
</ul>

<ul>
<li><em>Network Analysis with R/igraph</em>, by Gabor Csárdi, Thomas Nepusz and Eduardo M. Airoldi (in preparation).</li>
</ul>

<ul>
<li><em>Network Analysis with Python/igraph</em>, by Thomas Nepusz, Gabor Csárdi and Eduardo M. Airoldi (in preparation).</li>
</ul>

<ul>
<li><em><a href="http://shop.oreilly.com/product/0636920020424.do" rel="noopener noreferrer">Social Network Analysis for Startups. Finding Connections on the Social Web</a></em> (using Python), by Maksim Tsvetovat and Alexander Kouznetsov (<a href="https://github.com/maksim2042/SNABook" rel="noopener noreferrer">code (⭐247)</a>; 2011).</li>
</ul>

<ul>
<li><em><a href="http://www.springer.com/us/book/9781493909827" rel="noopener noreferrer">Statistical Analysis of Network Data with R</a></em>, by Eric D. Kolaczyk and Gabor Csárdi (<a href="https://github.com/kolaczyk/sand" rel="noopener noreferrer">R package (⭐301)</a>; 2014).</li>
</ul>
<h3><p>Books / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://www.cambridge.org/catalogue/catalogue.asp?isbn=9780521879507" rel="noopener noreferrer">Dynamical Processes on Complex Networks</a></em>, by Alain Barrat, Marc Barthélemy and Alessandro Vespignani (2008).</li>
</ul>

<ul>
<li><em><a href="https://global.oup.com/academic/product/neighbor-networks-9780199570690" rel="noopener noreferrer">Neighbor Networks. Competitive Advantage Local and Personal</a></em>, by Ronald S. Burt (2010).</li>
</ul>

<ul>
<li><em><a href="http://press.princeton.edu/titles/6768.html" rel="noopener noreferrer">Small Worlds: The Dynamics of Networks between Order and Randomness</a></em>, by Duncan J. Watts (2003).</li>
</ul>

<ul>
<li><em><a href="https://www.routledge.com/products/9780415480147" rel="noopener noreferrer">Towards Relational Sociology</a></em>, by Nick Crossley (2011).</li>
</ul>

<ul>
<li><em><a href="http://www.campus.de/buecher-campus-verlag/wissenschaft/soziologie/visualisierung_komplexer_strukturen-2467.html" rel="noopener noreferrer">Visualisierung komplexer Strukturen. Grundlagen der Darstellung mehrdimensionaler Netzwerke</a></em>, by Lothar Krempel, in German.</li>
</ul>
<h3><p>Conferences / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.cnn.group.cam.ac.uk/cambridge-networks-day" rel="noopener noreferrer">CNDay - Cambridge Networks Day</a> - Convened by the Cambridge Networks Network.</li>
</ul>

<ul>
<li><a href="http://eusn.org/" rel="noopener noreferrer">EUSN - European Conference on Social Networks</a>.</li>
</ul>
<h3><p>Courses / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.hamilton.ie/ollie/Downloads/Graph.pdf" rel="noopener noreferrer">Graph Theory and Applications</a>, by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009).</li>
</ul>

<ul>
<li><a href="http://ocw.mit.edu/courses/media-arts-and-sciences/mas-961-networks-complexity-and-its-applications-spring-2011/" rel="noopener noreferrer">Networks, Complexity and Its Applications (Media Arts and Sciences)</a>, by Cesar Hidalgo (MIT, 2011).</li>
</ul>

<ul>
<li><a href="https://www.edx.org/course/networks-crowds-markets-cornellx-info2040x-2" rel="noopener noreferrer">Networks, Crowds and Markets</a>, by David Easley, Jon Kleinberg and Eva Tardos (<a href="https://www.cornell.edu/video/cornellx-networks-crowds-and-markets" rel="noopener noreferrer">presentation</a>; Cornell University via edX, 2016).</li>
</ul>

<ul>
<li><a href="http://vanity.dss.ucdavis.edu/~maoz/networks/Spring%202011/pol279-11.htm" rel="noopener noreferrer">Political Networks: Methods and Applications</a>, by Zeev Maoz (University of California in Davis, 2012).</li>
</ul>

<ul>
<li><a href="https://www.coursera.org/course/networksonline" rel="noopener noreferrer">Social and Economic Networks: Models and Analysis</a>, by Matthew O. Jackson (Stanford University via Coursera, 2015).</li>
</ul>

<ul>
<li><a href="https://www.coursera.org/course/sna" rel="noopener noreferrer">Social Network Analysis</a>, by Lada Adamic (University of Michigan via Coursera, not yet run).</li>
</ul>

<ul>
<li><a href="http://www.mjdenny.com/workshops/SN_Theory_I.pdf" rel="noopener noreferrer">Social Network Analysis</a> and <a href="http://www.mjdenny.com/workshops/Relational_Theory_Workshop.pdf" rel="noopener noreferrer">Intermediate Social Network Theory</a>, by Matthew J. Denny - Workshop notes and slides (2014–5).</li>
</ul>

<ul>
<li><a href="https://www.cs.cornell.edu/Courses/cs6850/2008fa/" rel="noopener noreferrer">The Structure of Information Networks</a>, by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008).</li>
</ul>
<h3><p>Datasets / Topic-specific</p>
</h3>
<ul>
<li><a href="http://www.bnlearn.com/bnrepository/" rel="noopener noreferrer">Bayesian Network Repository</a>.</li>
</ul>

<ul>
<li><a href="https://www.cs.cmu.edu/~enron/" rel="noopener noreferrer">Enron Email Dataset</a>.</li>
</ul>

<ul>
<li><a href="https://github.com/gephi/gephi/wiki/Datasets" rel="noopener noreferrer">Gephi Datasets (⭐6.4k)</a>.</li>
</ul>

<ul>
<li><a href="http://eh.net/database/international-currencies-1890-1910/" rel="noopener noreferrer">International Currencies 1890-1910</a> - Historical data on the international connections between 45 currencies.</li>
</ul>

<ul>
<li><a href="http://vlado.fmf.uni-lj.si/pub/networks/data/" rel="noopener noreferrer">Pajek Datasets</a>.</li>
</ul>

<ul>
<li><a href="http://www.stats.ox.ac.uk/~snijders/siena/siena_datasets.htm" rel="noopener noreferrer">Siena Datasets</a>.</li>
</ul>

<ul>
<li><a href="http://networkdata.ics.uci.edu/" rel="noopener noreferrer">UCI Network Data Repository</a>.</li>
</ul>
<h3><p>Journals / Topic-specific</p>
</h3>
<ul>
<li><em><a href="http://link.springer.com/journal/10588" rel="noopener noreferrer">Computational and Mathematical Organization Theory</a></em> (Springer, gated).</li>
</ul>

<ul>
<li><em><a href="http://computationalsocialnetworks.springeropen.com/" rel="noopener noreferrer">Computational Social Networks</a></em> (Springer Open).</li>
</ul>

<ul>
<li><em><a href="http://www.insna.org/connections.html" rel="noopener noreferrer">Connections</a></em> (INSNA).</li>
</ul>

<ul>
<li><em><a href="http://www.tandfonline.com/loi/gmas20" rel="noopener noreferrer">The Journal of Mathematical Sociology</a></em> (Taylor &amp; Francis, gated).</li>
</ul>

<ul>
<li><em><a href="http://journals.cambridge.org/action/displayJournal?jid=nws" rel="noopener noreferrer">Network Science</a></em> (Cambridge, gated).</li>
</ul>

<ul>
<li><em><a href="http://link.springer.com/journal/13278" rel="noopener noreferrer">Social Network Analysis and Mining</a></em> (Springer, gated).</li>
</ul>

<ul>
<li><em><a href="http://ees.elsevier.com/son/default.asp" rel="noopener noreferrer">Social Networks</a></em> (Elsevier, gated).</li>
</ul>
<h3><p>Professional Groups / Research Groups (USA)</p>
</h3>
<ul>
<li><a href="http://alumni.media.mit.edu/~tanzeem/cohn/CoHN.htm" rel="noopener noreferrer">Complex Human Networks Reading Group (CoHN)</a> - Reading list from a seminar held at MIT in 2001–2.</li>
</ul>

<ul>
<li><a href="https://sites.psu.edu/desmaraisgroup/" rel="noopener noreferrer">Interdependence in Governance and Policy Research Group</a> - Led by Bruce A. Desmarais at Penn State University.</li>
</ul>

<ul>
<li><a href="http://iuni.iu.edu/" rel="noopener noreferrer">Indiana University Network Science Institute (IUNI)</a>.</li>
</ul>

<ul>
<li><a href="http://icensa.com/" rel="noopener noreferrer">Interdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame</a>.</li>
</ul>

<ul>
<li><a href="https://sites.google.com/site/uklinkscenter/" rel="noopener noreferrer">LINKS Center for Social Network Analysis at the Gatton College of Business and Economics, University of Kentucky</a>.</li>
</ul>

<ul>
<li><a href="http://netsci.rutgers.edu/" rel="noopener noreferrer">NetSCI Lab at the Rutgers School of Communication and Information</a>.</li>
</ul>

<ul>
<li><a href="http://www.usma.edu/nsc/" rel="noopener noreferrer">Network Science Center at the U.S. Military Academy (USMA) in West Point</a> (<a href="http://blog.netsciwestpoint.org/" rel="noopener noreferrer">blog</a>).</li>
</ul>

<ul>
<li><a href="http://networkscience.igert.ucsb.edu/" rel="noopener noreferrer">Network Science IGERT at the University of California at Santa Barbara (UCSB)</a> - Features an <a href="http://www.igert.org/" rel="noopener noreferrer">NSF-funded</a> graduate programme.</li>
</ul>

<ul>
<li><a href="http://www.ncasd.org/" rel="noopener noreferrer">Networks, Computation, and Social Dynamics Lab</a> - Headed by Carter T. Butts. Part of the <a href="http://relationalanalysis.org/" rel="noopener noreferrer">Center for Networks and Relational Analysis</a> (CNRA) at the University of California in Irvine.</li>
</ul>

<ul>
<li><a href="http://www.mobs-lab.org/" rel="noopener noreferrer">Northeastern University MOBS Lab - Laboratory for the Modeling of Biological and Socio-technical Systems</a> - Led by Alessandro Vespignani.</li>
</ul>

<ul>
<li><a href="http://warrencenter.upenn.edu/" rel="noopener noreferrer">Warren Center for Network &amp; Data Sciences at the University of Pennsylvania</a>.</li>
</ul>

<ul>
<li><a href="http://yins.yale.edu/" rel="noopener noreferrer">Yale Institute for Network Science (YINS)</a>.</li>
</ul>
<h3><p>Professional Groups / Research Groups (Other)</p>
</h3>
<ul>
<li><a href="http://www.gre.ac.uk/business/research/centres/cbna/home" rel="noopener noreferrer">Centre for Business Network Analysis, University of Greenwich</a> - Focused on economic/organisational network analysis.</li>
</ul>

<ul>
<li><a href="http://cns.ceu.edu/" rel="noopener noreferrer">Center for Network Science, Central European University, Budapest</a> - Features a PhD in Network Science program.</li>
</ul>

<ul>
<li><a href="http://www.cxnets.org/" rel="noopener noreferrer">Cx-Nets</a> - Virtual collaboration between four complex networks research groups.</li>
</ul>

<ul>
<li><a href="http://www.socialsciences.manchester.ac.uk/mitchell-centre/" rel="noopener noreferrer">Mitchell Centre for Social Network Analysis, University of Manchester</a> - Currently studies <a href="http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks/" rel="noopener noreferrer">covert networks</a>.</li>
</ul>

<ul>
<li><a href="http://www.sociopatterns.org/" rel="noopener noreferrer">SocioPatterns</a> - Interdisciplinary research group that uses wireless sensors to study social network data.</li>
</ul>

<ul>
<li><a href="https://www.ucl.ac.uk/cona" rel="noopener noreferrer">UCL Centre for Organisational Network Analysis (CONA)</a>.</li>
</ul>
<h3><p>Review Articles / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://eprints.ncrm.ac.uk/842/" rel="noopener noreferrer">Mixed-Method Approaches to Social Network Analysis</a> (ESRC NCRM Discussion Paper, 2010).</li>
</ul>

<ul>
<li><a href="http://science.sciencemag.org/content/323/5916/892" rel="noopener noreferrer">Network Analysis in the Social Sciences</a> (<em>Science</em>, 2009).</li>
</ul>

<ul>
<li><a href="https://www.aeaweb.org/articles?id=10.1257/jep.28.4.3" rel="noopener noreferrer">Networks in the Understanding of Economic Behaviors</a> (<em>Journal of Economic Perspectives</em>, 2014).</li>
</ul>

<ul>
<li><a href="http://journals.cambridge.org/article_S1049096510001848" rel="noopener noreferrer">Social Network Analysis in the Study of Terrorism and Political Violence</a> (<a href="http://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=1048&amp;context=pn_wp" rel="noopener noreferrer">preprint</a>; <em>PS: Political Science and Politics</em>, 2011).</li>
</ul>
<h3><p>Software / Social, Economic and Political Networks</p>
</h3>
<ul>
<li><a href="http://www.philipleifeld.com/discourse-network-analyzer/discourse-network-analyzer-dna.html" rel="noopener noreferrer">Discourse Network Analyzer (DNA)</a> - Qualitative content analysis tool with network export facilities, written in Java with R integration.</li>
</ul>

<ul>
<li><a href="http://www.gleamviz.org/" rel="noopener noreferrer">GLEAMviz Simulator</a> - Cross-platform tool intended for the prediction of human epidemics.</li>
</ul>

<ul>
<li><a href="http://www.graphviz.org/" rel="noopener noreferrer">Graphviz</a> - Cross-platform software to draw graphs in the DOT graph drawing language.</li>
</ul>

<ul>
<li><a href="https://github.com/bruce/graphy" rel="noopener noreferrer">Graphy (⭐48)</a> - Graph theory library written in Ruby.</li>
</ul>

<ul>
<li><a href="http://muxviz.net/" rel="noopener noreferrer">MuxViz</a> - Cross-platform, free and open source tool to study multilayer networks, based on R and GNU Octave.</li>
</ul>

<ul>
<li><a href="http://neo4j.com/" rel="noopener noreferrer">Neo4j</a> - Open source, scalable graph database, used by companies like <a href="http://linkurio.us/" rel="noopener noreferrer">Linkurious</a>.</li>
</ul>

<ul>
<li><a href="http://www.casos.cs.cmu.edu/projects/ora/" rel="noopener noreferrer">ORA-LITE</a> - Windows program for dynamic meta-network assessment and analysis.</li>
</ul>

<ul>
<li><a href="https://sites.google.com/site/ucinetsoftware/" rel="noopener noreferrer">UCINET</a> - Windows commercial software package for the analysis of social network data.</li>
</ul>
<h3><p>Software / Algorithms</p>
</h3>
<ul>
<li><a href="https://gephi.wordpress.com/2011/06/06/forceatlas2-the-new-version-of-our-home-brew-layout/" rel="noopener noreferrer">ForceAtlas2</a> - Force-directed layout included in Gephi (<a href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0098679" rel="noopener noreferrer">paper</a>).</li>
</ul>

<ul>
<li><a href="https://github.com/sjbeckett/weighted-modularity-LPAwbPLUS" rel="noopener noreferrer">weighted-modularity-LPAwbPLUS (⭐31)</a> - Julia, MATLAB and R implementations of two algorithms to find weighted modularity in bipartite networks.</li>
</ul>
<h3><p>Software / C / C++</p>
</h3>
<ul>
<li><a href="https://sites.google.com/site/findcommunities/" rel="noopener noreferrer">Louvain Method</a> - C++ code for the <a href="https://arxiv.org/abs/0803.0476" rel="noopener noreferrer">Louvain multi-level community detection algorithm</a>.</li>
</ul>

<ul>
<li><a href="http://snap.stanford.edu/" rel="noopener noreferrer">Stanford Network Analysis Project</a> - C++ general purpose network analysis and graph mining library. Available as a Python library and in Microsoft Excel via NodeXL.</li>
</ul>

<ul>
<li><a href="https://www-complexnetworks.lip6.fr/~latapy/PP/walktrap.html" rel="noopener noreferrer">Walktrap</a> - C++ program that implements the <a href="https://arxiv.org/abs/physics/0512106" rel="noopener noreferrer">WalkTrap community detection algorithm</a>.</li>
</ul>
<h3><p>Software / JavaScript</p>
</h3>
<ul>
<li><a href="https://github.com/upphiminn/jLouvain" rel="noopener noreferrer">jLouvain (⭐156)</a> - Louvain community detection for Javascript (<a href="http://bl.ocks.org/emeeks/125db75c9b55ddcbdeb5" rel="noopener noreferrer">example</a>).</li>
</ul>

<ul>
<li><a href="https://github.com/anvaka/VivaGraphJS" rel="noopener noreferrer">VivaGraphJS (⭐3.9k)</a> - Graph drawing library (<a href="https://github.com/graphcommons/viva.forceatlas2" rel="noopener noreferrer">ForceAtlas2 plugin (⭐3)</a>).</li>
</ul>

<ul>
<li><a href="https://mdaines.github.io/viz.js/" rel="noopener noreferrer">viz.js</a> - Use Graphviz in Web pages.</li>
</ul>
<h3><p>Software / MATLAB</p>
</h3>
<ul>
<li><a href="http://www.teuscher.ch/rbntoolbox/index.htm" rel="noopener noreferrer">MATLAB RBN Toolbox</a> - Simulation und visualization of Random Boolean Networks.</li>
</ul>
<h3><p>Software / Python</p>
</h3>
<ul>
<li><a href="https://pypi.python.org/pypi/graphviz" rel="noopener noreferrer">graphviz</a> - Python renderer for the DOT graph drawing language.</li>
</ul>

<ul>
<li><a href="https://github.com/rafguns/linkpred" rel="noopener noreferrer">linkpred (⭐141)</a> - Assess the likelihood of potential links in a future snapshot of a network.</li>
</ul>

<ul>
<li><a href="http://igraph.org/python/" rel="noopener noreferrer">python-igraph</a> - Python version of the igraph network analysis package.</li>
</ul>
<h3><p>Software / R</p>
</h3>
<ul>
<li><a href="https://github.com/rich-iannone/DiagrammeR" rel="noopener noreferrer">DiagrammeR (⭐1.7k)</a> - Connects R, RStudio and JavaScript libraries to draw graph diagrams (<a href="https://blog.rstudio.org/2015/05/01/rstudio-v0-99-preview-graphviz-and-diagrammer/" rel="noopener noreferrer">blog post</a>).</li>
</ul>

<ul>
<li><a href="https://github.com/chengjun/networkdiffusion" rel="noopener noreferrer">networkdiffusion (⭐7)</a> - Simulate and visualize basic epidemic diffusion in networks.</li>
</ul>

<ul>
<li><a href="https://bioconductor.org/packages/release/bioc/html/Rgraphviz.html" rel="noopener noreferrer">Rgraphviz</a> - Support for using the Graphviz library and its DOT graph drawing language from within R.</li>
</ul>

<ul>
<li><a href="http://r-forge.r-project.org/R/?group_id=461" rel="noopener noreferrer">RSiena</a> - Simulation Investigation for Empirical Network Analysis; fits models to longitudinal network data.</li>
</ul>

<ul>
<li><a href="https://github.com/DataKnowledge/visNetwork" rel="noopener noreferrer">visNetwork (⭐563)</a> - Using vis.js library for network visualization.</li>
</ul>
<h3><p>Software / Stata</p>
</h3>
<ul>
<li><a href="http://www.rensecorten.org/index.php/category/sna-with-stata/" rel="noopener noreferrer">SNA with Stata</a> - Blog documenting the use of the netplot Stata package.</li>
</ul>
<h3><p>Varia / Tutorials</p>
</h3>
<ul>
<li><a href="https://www.youtube.com/playlist?list=PL3zdEY084WkQD79mR00RSt8j5RuyPwMJE" rel="noopener noreferrer">Mixed-Method Approaches to Social Network Analysis</a> - Videos of a conference at the Middlesex University School of Law (2014).</li>
</ul>

<ul>
<li><a href="https://www.youtube.com/watch?v=1xLjYc7EUEU" rel="noopener noreferrer">Modeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference</a> - Video of a seminar talk by Jennifer Neville at Purdue University (2011).</li>
</ul>

<ul>
<li><a href="http://www.birs.ca/events/2015/5-day-workshops/15w5080/videos" rel="noopener noreferrer">New Perspectives for Relational Learning</a> - Videos (and more) from a workshop at the Banff International Research Station (BIRS) (2015).</li>
</ul>

<ul>
<li><a href="https://codeandculture.wordpress.com/2015/04/03/picking-sides/" rel="noopener noreferrer">Picking Sides</a> - Community detection in the political network of Middle Eastern alliances between various state and nonstate powers (<a href="https://gist.github.com/briatte/c6df2f855afb4eb142e6" rel="noopener noreferrer">updated version</a>).</li>
</ul>

<ul>
<li><a href="https://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/" rel="noopener noreferrer">Using Metadata to Find Paul Revere</a> and <a href="http://www.sscnet.ucla.edu/polisci/faculty/chwe/ps269/han.pdf" rel="noopener noreferrer">The Other Ride of Paul Revere: The Brokerage Role in the Making of the American Revolution</a> - Network analysis applied to American revolutionaries.</li>
</ul>
<h3><p>Varia / Blog Series</p>
</h3>
<ul>
<li><a href="http://coulmont.com/index.php?s=r%C3%A9seaux" rel="noopener noreferrer">Blog Posts About Networks by Baptiste Coulmont</a>, in French.</li>
</ul>

<ul>
<li><a href="http://kateto.net/networks" rel="noopener noreferrer">Blog Posts About Networks by Katya Ognyanova</a>.</li>
</ul>

<ul>
<li><a href="http://pierremerckle.fr/category/reseaux/" rel="noopener noreferrer">Blog Posts About Networks by Pierre Mercklé</a>, in French.</li>
</ul>

<ul>
<li><a href="http://badhessian.org/category/networks/" rel="noopener noreferrer">Blog Posts About Networks on the Bad Hessian Blog</a>, by various contributors.</li>
</ul>
<h3><p>Varia / Network Science</p>
</h3>
<ul>
<li><a href="https://github.com/raffaelevacca/EUSN-co-citation-networks" rel="noopener noreferrer">Social Network and Network Science Co-Citations Across Disciplines in 1996-2013 (⭐22)</a>.</li>
</ul>

<ul>
<li><a href="http://environmentalpolicy.ucdavis.edu/node/292" rel="noopener noreferrer">Three Hard Questions about Network Science</a>.</li>
</ul>

<ul>
<li><a href="http://journals.cambridge.org/repo_A88Sa8AHdt4SoI" rel="noopener noreferrer">What is Network Science?</a> - First editorial of the recent <em>Network Science</em> journal.</li>
</ul>
]]></content>
    <link rel="alternate" href="https://www.trackawesomelist.com/2016/15/"/>
    <summary>109 awesome projects updated on Apr 11 - Apr 17, 2016</summary>
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