Awesome Network Analysis

An awesome list of resources to construct, analyze and visualize network data.

Inspired by Awesome Deep Learning, Awesome Math and others. Started in 2016, and irregularly updated since then.

Network of U.S. political blogs by Adamic and Glance (2004) (preprint).

Note: searching for ‘@’ will return all Twitter accounts listed on this page.

Contents

• Books
  • Classics
  • Dissemination
  • General Overviews
  • Graph Theory
  • Method-specific
  • Software-specific
  • Topic-specific
• Conferences
• Courses
• Datasets
• Journals
• Professional groups
  • Research Groups (USA)
  • Research Groups (Other)
• Review Articles
  • Archeological and Historical Networks
  • Bibliographic, Citation and Semantic Networks
  • Biological, Ecological and Disease Networks
  • Complex Networks
  • Ethics of Network Analysis
  • Network Modeling
  • Network Visualization
  • Social, Economic and Political Networks
• Selected Papers
• Software
  • Algorithms
  • C / C++
  • Java
  • JavaScript
  • Julia
  • MATLAB
  • Python
  • R
  • Stata
  • Syntaxes
  • Tutorials
• Varia
  • Blog Series
  • Fictional Networks
  • Network Science
  • Small Worlds
  • Two-Mode Networks
• Contributing Guidelines
• License

Books

Classics

• A Novitiate in a Period of Change: An Experimental and Case Study of Social Relationships, by Samuel F. Sampson (unpublished PhD dissertation, 1968).
• Social Network Analysis, by John Scott (2017).
• Social Network Analysis. Methods and Applications, by Stanley Wasserman and Katherine Faust (1994).
• The Structure and Dynamics of Networks, edited by Mark E.J. Newman, Albert-László Barabási and Duncan J. Watts - 600 pages of classic network analysis articles (2006).

Dissemination

Accessible introductions aimed at non-technical audiences.

• Connected: The Surprising Power of Our Social Networks and How They Shape Our Lives, by Nicholas A. Christakis and James H. Fowler (2009).
• Linked: The New Science of Networks, by Albert-László Barabási (2002).
• Network Literacy: Essential Concepts and Core ideas, by the NetSciEd team (c. 2016) - Available in several languages (paper).
• Nexus. Small Worlds and the Groundbreaking Theory of Networks, by Mark Buchanan (2003).
• Six Degrees: The Science of a Connected Age, by Duncan J. Watts (2003).

General Overviews

• A First Course in Network Science, by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - Tutorials, datasets and other resouces on GitHub (2020).
• Encyclopedia of Social Networks, edited by George A. Barnett - Covers all sorts of network-related themes (many of them not formal) as well as social network analysis (2011).
• Encyclopedia of Social Network Analysis and Mining, edited by Reda Alhajj and Jon Rokne (2014).
• L'analyse de réseau en sciences sociales. Petit guide pratique, by Laurent Beauguitte, in French (2023). Readable online.
• Network Science, by Albert-László Barabási - Full book online (2016).
• Network Science, by the U.S. National Research Council - Full book online (2005).
• Network Science: Theory and Practice, by Ted G. Lewis (2011).
• Networks. An Introduction, by Mark E.J. Newman (2010).
• Networks, Crowds, and Markets: Reasoning About a Highly Connected World, by David Easley and Jon Kleinberg - Full pre-publication draft (review; 2010).
• Réseaux sociaux et structures relationnelles, by Emmanuel Lazega, in French (2014).
• The SAGE Handbook of Social Network Analysis, edited by John Scott and Peter J. Carrington (2011).
• Sociologie des réseaux sociaux, by Pierre Mercklé, in French (2011).
• Social and Economic Networks, by Matthew O. Jackson (2008).
• Social Network Analysis with Applications, by Ian McCulloh, Helen Armstrong and Anthony Johnson (2013).
• Social Networks. An Introduction, by Omar Lizardo and Isaac Jilbert - free to read online (2023).
• Social Networks: An Introduction, by Jeroen Bruggeman (related material; 2008).
• Studying Social Networks. A Guide to Empirical Research, by Marina Hennig et al. (2013).
• Understanding Social Networks. Theories, Concepts, and Findings, by Charles Kadushin (2012).

Graph Theory

• Combinatorics and Graph Theory, by John Harris, Jeffry L. Hirst and Michael Mossinghoff (2008).
• The Fascinating World of Graph Theory, by Arthur Benjamin, Gary Chartrand and Ping Zhang (2015).
• Graph Theory, by John A. Bondy and Uppaluri S.R. Murty (2008).
• Graph Theory, by Reinhard Diestel - Full book online, also in Chinese and German (2016).
• Graph Theory, by Frank Harary - Full book online (1969).
• Graphs & Digraphs, by Gary Chartrand, Linda Lesniak and Ping Zhang (2016).
• Introduction to Combinatorics and Graph Theory, by David Guichard - Full book online (2016).
• Modern Graph Theory, by Belá Bollobás (1998).

Method-specific

• Bayesian Networks in R with Applications in Systems Biology, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre (website; 2013).
• Bayesian Networks with Examples in R, by Marco Scutari and Jean-Baptiste Denis (website; 2014).
• The Book of Trees. Visualizing Branches of Knowledge, by Manuel Lima - Hundreds of beautiful tree diagrams, from all periods of history (2014).
• Exponential Random Graph Models for Social Networks, edited by Dean Lusher, Johan Koskinen and Garry Robins (2013).
• Generalized Blockmodeling. Structural Analysis in the Social Sciences, by Patrick Doreian, Vladimir Batagelj and Anuška Ferligoj (2004).
• Handbook of Graph Drawing and Visualization, edited by Roberto Tamassia (chapter proofs; 2013).
• Handbuch Historische Netzwerkforschung. Grundlagen und Anwendungen, edited by Marten Düring et al., in German (2016).
• An Introduction to Exponential Random Graph Modeling, by Jenine K. Harris (2014).
• Knoten und Kanten. Soziale Netzwerkanalyse in Wirtschafts- und Migrationsforschung, edited by Markus Gamper and Linda Reschke, in German (2010).
• Knoten und Kanten 2.0. Soziale Netzwerkanalyse in Medienforschung und Kulturanthropologie, edited by Markus Gamper, Linda Reschke and Michael Schönhuth, in German (2012).
• Knoten und Kanten III. Soziale Netzwerkanalyse in Geschichts- und Politikforschung, edited by Markus Gamper, Linda Reschke and Marten Düring, in German and English (2015).
• Inferential Network Analysis, by Skyler J. Cranmer, Bruce A. Desmarais and Jason Morgan (2020).
• Multilayer Social Networks, by Mark E. Dickison, Matteo Magnani and Luca Rossi (2016).
• Multilevel Network Analysis for the Social Sciences, edited by Emmanuel Lazega and Tom A.B. Snijders (2016).
• Multimodal Political Networks, by David Knoke, Mario Diani, James Hollway and Dimitri Christopulos (2021).
• Multivariate Network Visualization, edited by Andreas Kerren, Helen C. Purchase and Matthew O. Ward (2014).
• Network Analysis in Archaeology, edited by Carl Knappett (2013; review in French).
• Network Analysis: Methodological Foundations, edited by Ulrik Brandes and Thomas Erlebach - Covers network centrality, clustering, blockmodels, spatial networks and more (2005).
• Political Networks. The Structural Perspective, by David Knoke (1994).
• Social Network Analysis for Ego-Nets: Social Network Analysis for Actor-Centred Networks, by Nick Crossley et al. (2015).
• Understanding Large Temporal Networks and Spatial Networks, by Vladimir Batagelj et al. (2014).

Software-specific

• Algorithmic Graph Theory and Sage, by David Joyner, Minh Van Nguyen, and David Phillips - Full book online (2013).
• Analyzing Social Networks (using UCINET), by Stephen P. Borgatti, Martin G. Everett