PRESENTED AT SPSP 2023 ANNUAL CONVENTION


Belief network analysis is a blooming methodology for studying belief systems as complex networks. The ResIN method combines this approach with latent space methodology. In this workshop, we explain in detail ResIN: its working principles, when it is most suited, and how to use it. We also provide case studies showing how we can produce information about influence and behavior.

Presenters: Dino Carpentras, ETH Zurich; Adrian Lueders, University Of Limerick; Philip Warncke, UNC Chapel Hill