Methods for Network Analysis

In this course, we learn how to collect and analyze social network data. We begin by learning the fundamentals of graph theory and replicating well-known network studies. In the process, we cover classic network methods from centrality to block-modeling. We then move to the frontiers of network analysis. Topics include visualization, modeling and simulation, dynamic network analysis, network experiments, semantic network analysis, and analyzing social networks at scale. Sources and ways of collecting network data will be discussed and students will apply methods they learn to data of their own.