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Overview
Google, IBM & Meta Certificates – 40% Off
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This course applies Bayesian statistical reasoning to social networks, covering network analysis, reciprocal ties, generalized giving, posterior networks, household and dyad features, and network structures such as triangles and blocks.
Syllabus
Introduction
Sharing and networks
Analyzing networks
Reciprocal ties
Generalized giving
Posterior social networks
Household and dyad features
Triangles and blocks
Summary and outlook
Taught by
Richard McElreath