Affiliation network clustering coefficients

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 transitivity() but produces output consistent with the other variants of transitivity_an.)

Usage

project_transitivity(graph, type = "global", vids = which(!V(graph)$type))

project.transitivity(graph, type = "global", vids = which(!V(graph)$type))

Arguments

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.

Value

If type is "global", the global clustering coefficient of the network (a single numeric value); if "local", the local clustering coefficients of the actors (a numeric vector); otherwise, a 2-column matrix, each row of which gives the number of wedges and the number of closed wedges centered at each actor.

See also

Other triad closure functions: dynamic_triad_closure(), transitivity_an(), triad_closure(), triad_closure_from_census()