Tutorial 19
Analyze Multiplex Learning Networks
Keep friendship, advice, collaboration, and information as separate layers before asking where they overlap or compensate.
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 19
Keep friendship, advice, collaboration, and information as separate layers before asking where they overlap or compensate.
Tutorial 20
Keep eligible zero-tie actors in the denominator and distinguish observed isolation from missing participation before fitting a core-periphery pattern.
Tutorial 21
State what randomization preserves before claiming that a cluster, motif, rich club, or repeated tie occurs more often than expected.
Tutorial 22
Calculate distance only among reachable ordered pairs, make disconnected cases visible, and match path direction to the social process.
Tutorial 23
Peel a network by minimum internal degree, record coreness, and distinguish a cohesive participation layer from prestige or causal importance.
Tutorial 24
Prepare repeated complete networks, test change capacity and convergence, and interpret selection and influence parameters within an explicit micro-step model.