Network Analysis

by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre (website; 2013).

by Marco Scutari and Jean-Baptiste Denis (website; 2014).

by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (2020).

by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).

edited by Emmanuel Lazega and Tom A.B. Snijders (2016).

by David Knoke, Mario Diani, James Hollway and Dimitri Christopulos (2021).

edited by Andreas Kerren, Helen C. Purchase and Matthew O. Ward (2014).

edited by Carl Knappett (2013; review in French).

edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005).

by David Knoke (1994).

by Nick Crossley et al. (2015).

by Vladimir Batagelj et al. (2014).

Legislative cosponsorship networks, in R format.

A complex biological network, available in multiple formats, including JSON and Neo4j.

Graph theory library written in Ruby.

Apache Spark module to perform graph-related parallel computation.

Implementation of force-directed edge bundling for the QGIS Processing toolbox.

Open-source library for machine learning on graphs.

Cross-platform program to download and visualize Usenet data. Developed for a Masters degree.

Package to work with Bayesian networks.

lists.

lists. See also this Google spreadsheet by Ian McCulloh and others.

Statistical model for communication networks.

Implementation of the CONCOR network blockmodeling algorithm (blog post).

Implements an extension to the Topic-Partitioned Multinetwork Embeddings (TPME) model.

Connects R, RStudio and JavaScript libraries to draw graph diagrams (blog post).

Edge bundling algorithms, useful to e.g. draw networks of transport maps.

Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time.

an igraph implementation of the Smith-Pittman community detection algorithm (2024).

Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: bipartite R package.

Neo4J driver for R.

Various network functions and methods, e.g. computing the Cartesian product of two graphs or fitting a discrete core periphery model.

Includes 979 network datasets containing 2135 networks.

Simulate and visualize basic epidemic diffusion in networks.

Using vis.js library for network visualization.

Create d3.js network graphs from R.

Tools for collecting social media data and generating networks from it

Apache Spark module to perform graph-related parallel computation.

Comprehensive list of graph embedding papers with title, authors, link to the paper and reference implementation.

Comprehensive list of community detection papers with title, authors, link to the paper and reference implementation.

Moses Boudourides’ blog on analyzing (mostly) networks with Python.

(2012).

Community detection in the political network of Middle Eastern alliances between various state and nonstate powers (updated version).

Research project on the collaborative ties and network distance between mathematicians.

Discussion of “x degrees of separation” small-world experiments.

Interactive visualization of a well-documented early modern historical network.

(preprint, related code; Social Networks, 2008).

(preprint).

Interactive visualization of a well-documented early modern historical network.

To the extent possible under law, the authors of this list – by chronological order: François Briatte, Ian McCulloh, Aditya Khanna, Manlio De Domenico, Patrick Kaminski, Ericka Menchen-Trevino, Tam-Kien Duong, Jeremy Foote, Catherine Cramer, Andrej Mrvar, Patrick Doreian, Vladimir Batagelj, Eric C. Jones, Alden S. Klovdahl, James Fairbanks, Danielle Varda, Andrew Pitts, Roman Bartusiak, Koustuv Sinha, Mohsen Mosleh, Sandro Sousa, Jean-Baptiste Pressac, Patrick Connolly, Hristo Georgiev, Tiago Azevedo, Luis Miguel Montilla, Keith Turner, Sandra Becker, Benedek Rozemberczki, Xing Han Lu, Vincent Labatut, David Schoch, Jaewon Chung, Benedek Rozemberczki, Alex Loftus, Arun, Filippo Menczer, Marc Schiller, Tanguy Fardet, Bernhard Bieri, Rémy Cazabet, Jeremy Gelb, Mathieu Bastian, Michael Szell, Eran Rivlis, Rohan Dandage, Benjamin Smith, Beth Duckles, Lei Cao and Simon Delarue - have waived all copyright and related or neighboring rights to this work. Thanks to Robert J. Ackland, Laurent Beauguitte, Patrick Connolly, Michael Dorman, Colin Fay, Marc Flandreau, Eiko Fried, Christopher Steven Marcum, Wouter de Nooy, Katya Ognyanova, Rahul Padhy, Camille Roth, Claude S. Fischer, Cosma Shalizi, Tom A.B. Snijders, Chris Watson and Tim A. Wheeler, who helped locating some of the awesome resources featured in this list.

To the extent possible under law, the authors of this list – by chronological order: François Briatte, Ian McCulloh, Aditya Khanna, Manlio De Domenico, Patrick Kaminski, Ericka Menchen-Trevino, Tam-Kien Duong, Jeremy Foote, Catherine Cramer, Andrej Mrvar, Patrick Doreian, Vladimir Batagelj, Eric C. Jones, Alden S. Klovdahl, James Fairbanks, Danielle Varda, Andrew Pitts, Roman Bartusiak, Koustuv Sinha, Mohsen Mosleh, Sandro Sousa, Jean-Baptiste Pressac, Patrick Connolly, Hristo Georgiev, Tiago Azevedo, Luis Miguel Montilla, Keith Turner, Sandra Becker, Benedek Rozemberczki, Xing Han Lu, Vincent Labatut, David Schoch, Jaewon Chung, Benedek Rozemberczki, Alex Loftus, Arun, Filippo Menczer, Marc Schiller, Tanguy Fardet, Bernhard Bieri, Rémy Cazabet, Jeremy Gelb, Mathieu Bastian, Michael Szell, Eran Rivlis, Rohan Dandage, Benjamin Smith, Beth Duckles, Lei Cao, Simon Delarue and Christian Schulz - have waived all copyright and related or neighboring rights to this work. Thanks to Robert J. Ackland, Laurent Beauguitte, Patrick Connolly, Michael Dorman, Colin Fay, Marc Flandreau, Eiko Fried, Christopher Steven Marcum, Wouter de Nooy, Katya Ognyanova, Rahul Padhy, Camille Roth, Claude S. Fischer, Cosma Shalizi, Tom A.B. Snijders, Chris Watson and Tim A. Wheeler, who helped locating some of the awesome resources featured in this list.