membershipCommunities: membershipCommunities

In robin: ROBustness in Network

membershipCommunities

Description

This function computes the membership vector of the community structure. To detect the community structure the user can choose one of the methods implemented in igraph.

Usage

membershipCommunities(
  graph,
  method = c("walktrap", "edgeBetweenness", "fastGreedy", "louvain", "spinglass",
    "leadingEigen", "labelProp", "infomap", "optimal", "leiden", "other"),
  ...,
  FUN = NULL
)

Arguments

graph	The output of prepGraph.
method	The clustering method, one of "walktrap", "edgeBetweenness", "fastGreedy", "louvain", "spinglass", "leadingEigen", "labelProp", "infomap", "optimal", "leiden","other".
...	additional parameters to use with any of the previous described methods (see igraph package community detection methods for more details i.e. cluster_walktrap)
FUN	in case the @method parameter is "other" there is the possibility to use a personal function passing its name through this parameter. The personal parameter has to take as input the @graph and the @weights (that can be NULL), and has to return a community object.

Value

Returns a numeric vector, one number for each vertex in the graph; the membership vector of the community structure.

Examples

my_file <- system.file("example/football.gml", package="robin")
graph <- prepGraph(file=my_file, file.format="gml")
membershipCommunities (graph=graph, method="louvain")

robin documentation built on June 24, 2024, 5:11 p.m.