Social Networks: Statistical Approaches
- Propose and evaluate hypotheses about tie structure in dyads, in triads, and in complete networks.
- Build and assess biased net models for realized tie counts and complete networks.
- Understand the framework of exponential random graph models, formulate specific models for static and dynamic networks and for binary and weighted graphs, and estimate and assess goodness-of-fit with the statnet R package.
- Specify, estimate, and evaluate stochastic actor‐oriented models for longitudinal network and attribute data with the RSiena R package.
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