- Related book and data. See
`multinet`

for the R version.

- Related book and data, and presentation article. See
`uunet`

for the Python version.

`ggraph`

R package.
- Networks (Economics), by Daron Acemoglu and Asu Ozdaglar (MIT, 2009).

- Network Centrality in R: An Introduction - Includes a review of relevant R packages.
- Network Centrality in R: Neighborhood Inclusion.
- Network Centrality in R: New Ways of Measuring Centrality (2018).

`tidygraph`

R package.`levelnet`

R package.`bipartite`

R package.- informR - Tools to create sequence statistics from event lists to be used in
`relevent`

.

- Smile.jlstars2 - Julia wrapper for the Smile C++ library, which covers Bayesian networks and influence diagrams.

`Graph`

object.- Video presentation of the package by its author at JuliaCon 2016.

- GraphVisualize.jlstars4 - Graph visualization built on top of GLVisualize.jlstars246.
- LightGraphs.jlstars679 - Graph library with a focus on performance and simplicity.
- LightGraphsExtras.jlstars22 - Community detection and other functionalities for the LightGraphs.jl package.
- NetworkLayout.jlstars78 - Layout algorithms for graphs and trees.
- Networks.jlstars3 - Additional graph functions for the LightGraphs.jl package.
- GraphCentrality.jlstars4 - Adds network measures to the Graphs.jl package.

- Large-scale Structures in Networks: Hidden Communities and Latent Hierarchies - Talk by Dan Larremore at NetSci 2019.

- Analyse des réseaux : une introduction à Pajek, in French (2011).
- La détection de communautés avec Pajek 3.6, in French (2012).

- Analysis of Network Data.
- Assortative Social Networks and Neutral Cultural Evolution.
- Biochemical Network Evolution.
- Citations and Citation Networks.
- Community Discovery Methods for Complex Networks.
- Complex Networks.
- Experiments on Social Networks.
- Exponential Random Graph Models (ERGMs).
- Graph Sampling Algorithms.
- Graph Theory.
- Homophily and Influence in Social Networks.
- Inferring Networks from Non-Network Data.
- Joint Modeling of Texts and Networks.
- Network Comparison.
- Networks of Political Actors.
- Relational Learning.
- Social Contagion, Information Cascades, Diffusion of Innovations, Etc.
- Social Networks.
- Stochastic Block Models.
- See also: An Annotated Bibliography on Stochastic Blockmodels (2019).

- VOSON System - Web-based software for the collection and analysis of online network data.
- VOSON Data Provider for NodeXL (quick tutorial; to be discontinued in 2016).
- vosonR - R client for the VOSON software (in development).

- HNR Conferences, Workshops and Other Events.
- HNR Talks - Videos, in German.

- Network Analysis with Cytoscape Tutorial - Illustrated through an archaeological and geographical case study (2013).

- VennMaker for Historians: Sources, Social Networks and Software (also available in Spanish; 2011).

- d3-force: Force-directed graph layoutstars1.4k using velocity Verlet integration.
- d3-vector: Define connections between nodes as directional vectorsstars4, consisting of angles and magnitudes.

- ‘Réseaux et Régulation’ Conference Cycle - Seminar based at Sciences Po in Paris, France.

- Awesome LaTeX: TiKZstars1k.
- How to Draw Graphs in LaTeX?
- TikZ Graph Examples.
- TikZ & PGF Manual.
- TKZ - Packages based on TikZ.

- The NodeXL Series - Series of blog posts on using NodeXL (2013).

- Network Analysis with Visone Tutorial - Illustrated through an archaeological case study (2015).

- Implementing an ERGM from Scratch in Python, using networkx and numpy (2014).
- nxvizstars396 - Visualization package for NetworkX.