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 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 19
Keep friendship, advice, collaboration, and information as separate layers before asking where they overlap or compensate.
Tutorial 22
Calculate distance only among reachable ordered pairs, make disconnected cases visible, and match path direction to the social process.
Tutorial 24
Prepare repeated complete networks, test change capacity and convergence, and interpret selection and influence parameters within an explicit micro-step model.
Tutorial 31
Group actors by similar patterns of relations to others, inspect the image matrix, and distinguish role equivalence from friendship or community.
