Social network analysis (SNA) is a useful method in the social sciences and other disciplines to study the interrelationships between actors and larger social systems. Topics covered in this workshop will focus on the key concepts of studying relational data such as graph theory, structural properties of actors and groups, and a brief introduction to statistical analyses using exponential random graph models. Participants should bring a laptop, and an understanding of R will be useful.
Participants should read the following in preparation for the workshop:
- S. Borgatti, A. Mehra, D. Brass & G. Labianca. “Network Analysis in the Social Sciences.” Science 323, no. 5916 (February 13, 2009): 892–95. https://doi.org/10.1126/science.1165821.
- S. Weingart. “Demystifying Networks.” Journal of Digital Humanities, March 15, 2012. http://journalofdigitalhumanities.org/1-1/demystifying-networks-by-scott-weingart/
This workshop is co-sponsored by the Exploring Digital Humanities Series. Light refreshments will be served.
Christina Ladam is a PhD candidate in the Department of Political Science at the University of Colorado at Boulder with concentrations in American politics and political methodology. Her research focuses on political discussion, specifically deliberation. In her dissertation, she examines how the structural decisions made when designing deliberative institutions affects participants' behavior before, during, and after deliberative sessions.