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 13
Build a personal network around a focal actor, document the name generator and alter boundary, and interpret composition without pretending to observe the whole system.
Tutorial 14
Match edge direction to the relation instead of discarding who initiated, nominated, sought, or received an interaction.
Tutorial 15
Compare observed within-group and between-group ties with available opportunities instead of equating raw same-group counts with preference.
Tutorial 16
Use two normalized views of group mixing, inspect their denominators, and avoid interpreting either coefficient without the mixing table.
Tutorial 17
Keep actors and events as separate node sets so shared participation remains observable before any one-mode projection.
Tutorial 18
Convert affiliations to actor connections only after choosing a weighting rule and showing how popular events can dominate the projection.
