Overview
Explore social networks through statistical analysis in this comprehensive lecture from the Statistical Rethinking 2023 course. Delve into sample and causal models, generative models, and statistical models. Examine associations, wealth effects, triangles, and block models. Gain insights into the complexities of social network analysis, including a bonus section on bad outcome variables. Learn to apply statistical thinking to understand and interpret social network structures and dynamics.
Syllabus
Introduction
Sample and causal model
Generative model 1
Statistical model 1
Pause
Generative model 2
Statistical model 2
Associations and wealth effects
Triangles and block models
Summary and outlook
BONUS bad outcome variables
Taught by
Richard McElreath