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Temporal Network Analysis with R

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Learn how to use R to analyze networks that change over time.

Temporal Network Analysis is still a pretty new approach in fields outside epidemiology and social network analysis. This tutorial introduces methods for visualizing and analyzing temporal networks using several libraries written for the statistical programming language R. With the rate at which network analysis is developing, there will soon be more user friendly ways to produce similar visualizations and analyses, as well as entirely new metrics of interest. For these reasons, this tutorial focuses as much on the principles behind creating, visualizing, and analyzing temporal networks (the “why”) as it does on the particular technical means by which we achieve these goals (the “how”). It also highlights some of the unhappy oversimplifications that historians may have to make when preparing their data for temporal network analysis, an area where our discipline may actually suggest new directions for temporal network analysis research.

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Contributor(s)/Author(s)/Creator(s)
Alex Brey
Matthew Lincoln
mlincoln@andrew.cmu.edu
Zoe LeBlanc
zgleblanc@gmail.com
Ryan Deschamps
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