Each clustering coefficient can be defined as the proportion of "wedges" that are "closed", for suitable definitions of both terms. The main function, transitivity_an, calls one of the wedge functions and computes the global or local clustering coefficient of the given affiliation network, and if the local, then at the given nodes. (`project_transitivity` cheats by using the native `transitivity` but produces output consistent with the other variants of `transitivity_an`.)
project_transitivity(graph, type = "global", vids = which(!V(graph)$type)) project.transitivity(graph, type = "global", vids = which(!V(graph)$type))
| graph | An affiliation network. |
|---|---|
| type | The type of clustering coefficient (defaults to "global") |
| vids | A subset of actor node ids at which to evaluate the local clustering coefficient. |
Other triad closure functions: dynamic_triad_closure,
transitivity_an,
triad_closure_from_census,
triad_closure