SNA Academy
Reviewed tutorials build from relational questions and clean network data through descriptive measures, permutation tests, and responsible statistical modeling, then extend the workflow to longitudinal comparison.
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Tutorial 31
Group actors by similar patterns of relations to others, inspect the image matrix, and distinguish role equivalence from friendship or community.
Tutorial 32
Distinguish an actor's position from the whole network's inequality around its most central position and keep the reference maximum visible.
Tutorial 33
Harmonize boundaries and tie opportunities, show distributions across networks, and avoid treating dependent dyads as independent observations.
Tutorial 34
Use time ordering and a defensible identification strategy before claiming that connected students transmitted an attitude, behavior, or outcome.
Tutorial 35
Commit the network boundary, tie construction, exclusions, metrics, model, sensitivity checks, privacy plan, and decision rule before inspecting outcomes.
