Network science resources include tutorials, datasets, and other useful links for creating network visualizations and performing network analysis.

Tutorials

• Network visualization tutorials written by Katya Ognyanova of Rutgers University:
  • Visualization with R – Workshop material from the Sunbelt 2019 Network Science Conference on how to do network visualizations using R.
  • Visualization with Gephi – Workshop material form the Sunbelt 2016 Network Science Conference on how to create netowrk visualizations using Gephi software.
• 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.

Datasets

• 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.