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 23
Peel a network by minimum internal degree, record coreness, and distinguish a cohesive participation layer from prestige or causal importance.
Tutorial 25
Match a cross-sectional dependence question or longitudinal micro-change question to the model whose assumptions and data requirements fit.
Tutorial 29
Turn logs or co-location events into edges only after validating the event, threshold, actor identity, and social meaning against another source.
Tutorial 33
Harmonize boundaries and tie opportunities, show distributions across networks, and avoid treating dependent dyads as independent observations.
