Network science resources include tutorials, datasets, and other useful links for creating network visualizations and performing network analysis.
- Network visualization tutorials written by Katya Ognyanova of Rutgers University:
- Albert-László Barabási’s Network Science e-book. A text book 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.
- Network Science with Python:
- “Exploring and Analyzing Network Data with Python” – Tutorial on how to use perform network analysis using the Python programming language. Written by John Ladd, et al.
- “NetworkX: Network Analysis with Python” – 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.
- SNAP Stanford Large Network Database Collection – Collection of multiple network datasets including from social media like Facebook, LiveJournal, and Twitter.
- UC Irvine Network Data Repository – Collection of network datasets used in previously published scholarly articles.
- Duke Network Analysis Center – Database of network dataset repositories.
- networkrepository.com – Database of network data with interactive data visualization and analytical tools.