The resources here include tutorials, datasets, and other useful links for creating network visualizations and performing network analysis.
Tools and Tutorials
- Network Science – A textbook written by Northeastern Professor Albert-László Barabási.
- Social Network Analysis – Social network analysis tutorial written by Matthew Denny for the Institute for Social Science Research at UMass Amherst.
- Social Network Analysis basics – Social network analysis basics slideshow for the MIT Fall 2011 workshop in IT: Collaborative Innovation Networks by Johannes Putzke of the University of Cologne.
- Exploring and Analyzing Network Data with Python – A tutorial on how to perform network analysis using the Python programming language. Written by John Ladd, et al.
- NetworkX: Network Analysis with Python – A tutorial from the Sunbelt 2012 Network Science Conference on how to use the NetworkX Python package. Written by Salvatore Scellato of the University of Cambridge.
- Visualization with Gephi – Workshop material from the Sunbelt 2016 Network Science Conference on how to create network visualizations using Gephi, an open-source and free network data visualization tool.
- Visualization with R – Workshop material from the Sunbelt 2019 Network Science Conference on how to create network visualizations using R.
Data
- Duke Network Analysis Center – A database of network dataset repositories.
- Networkrepository.com – A database of network data with interactive data visualization and analytical tools.
- SNAP Stanford Large Network Database Collection – A collection of multiple network datasets including resources from social media like Facebook, LiveJournal, and Twitter.
- UC Irvine Network Data Repository – A collection of network datasets used in previously published scholarly articles.