Workshop 2

If you missed it, here is video of Workshop #2.

Workshop #2 is going to build on the results of WS1, but we are actually going to analyze the network that we built in workshop #1. Also, I expect there will be a good deal more time available for discussion and questions. We will start with the network we made with attributes. We don’t need to build the nework from scratch, instead I took the network we had and stored it as a .RDS file. RDS is the native structure for R.

In workshop #2 we will be looking at centrality metrics and network properties of individual nodes. For workshop #2 to work out ok, here are the things you will need to be able to do, which we covered in workshop #1.

  • Install and load the following packages:
    • tidyverse
    • tidygraph
    • ggraph
    • igraph
    • here
  • Read in an R object.

In case you are interested, here are a few resources that I found useful for doing SNA:

Reading (just some starting points)

  • Christina Prell, Social Network Analysis: History, Theory and Methodology, Sage, 2011.
  • Peter J. Carrington, John Scott, and Stanley Wasserman, Models and Methods in Social Network Analysis, Cambridge University Press, 2005.
  • Stanley Wasserman and Katherine Faust, Social Network Analysis: Methods and Applications, Cambridge University Press, 1994.
  • Mark E.J. Newman, Networks: An Introduction, Oxford University Press, 2010.
  • Albert-Lazlo Barabasi, Network Science, freely available through Creative Commons license.
  • Daniel Z. Grunspan, Benjamin L. Wiggins, and Steven M. Goodreau. (2014). ”Understanding classrooms through social network analysis: A primer for social network analysis in education research” CBE-Life Science Education 13(2) p. 167-178.
  • Katherine Ognyanova, (2015) ”Network Visualization with R”,
  • Eric Brewe (2018) “The Roles of Engagement: Network Analysis in Physics Education Research” Getting Started in Physics Education Research

Societies, Journals, and Meetings

Professional Societies

  • International Network of Social Network Analysis - Much more from the Social Network, social science side
  • Network Science Society - The professional society that hosts NetSci - a premier network analysis conference, much more from the graph/theoretic world


  • Network Science - Cambridge Press Journal focused on Network Science - much more graph theoretic
  • Connections - The journal of INSNA - much more focused on social network analysis & applications.
  • Social Networks - An Elsevier Journal focused on SNA - much more statistical


  • Sunbelt - Conference of INSNA
  • NetSci - Conference of Network Science Society
  • CompleNet - International Conference on Complex Networks


  • Colorado Index of Complex Networks - Maintained by Aaron Clauset - very high quality datasets
  • Stanford Large Network Datasets - Maintained by Stanford - a list, not necessarily as clean, but a large list

The slides for Workshop #2 can be found here: