project_transitivity: Affiliation network clustering coefficients

In corybrunson/bitriad: Triadic Analysis of Affiliation Networks

Description

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'.)

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.

See Also

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

corybrunson/bitriad documentation built on May 13, 2019, 10:51 p.m.