Most courses on social network analysis (SNA) focus on descriptive SNA, such as measuring the density of a network, identifying subgroups within a network, or examining the centrality of actors within a network. Inferential SNA, which focuses on explaining the formation of networks and behaviors and beliefs of actors embedded in networks, by contrast, is often eschewed.
This short course is an introduction to inferential SNA. The focus of this course is on models to explain how the behaviors and beliefs of actors are influenced by the networks in which they are embedded. Covered are cross-sectional, panel, and dynamic panel models to estimate exogenous and endogenous peer effects.
Feel free to use any of these materials but please cite me using this reference:
Rosche, Benjamin (2022). Introduction to Inferential Social Network Analysis. http://benrosche.com/teaching/isna-workshop/