Events

It is more challenging than ever for researchers to be on top of all the latest publications and other developments in their areas of research, regardless of their career stage or the fields they work in. One of the main challenges is the exponential growth of publications. In nearly all fields, there is more work being published every year than any one researcher, or research team, can possibly read and synthesize.

In this two-day workshop, you will learn a variety of tools for analyzing data on social and information networks using the programming language R. The first day will be an introduction to R and RStudio, followed by a series of classic topics in network analysis, such as centrality analysis and community detection. The second day will cover visualization, handling extremely dense networks, and developing statistical models for network data. 

The workshop sessions will combine short lectures and demonstrations with hands-on time analyzing your own (or our) network data. 

This one-day workshop offers a practical introduction to fundamentals and recent developments in automated content analysis. The workshop is designed with social scientists in mind, but participants from other fields (including digital humanities) are also welcome. We assume that participants have little to no prior experience with methods for automated content analysis.