cluster_resolution_RandomOrderFULL: cluster_resolution_RandomOrderFULL

In analyxcompany/resolution: Finding communities in network using algorithm with resolution parameter

Description

cluster_resolution_RandomOrderFULL is enlargement of function cluster_resolution in the case where outcome based on random order of nodes. Function repeats rep times algorithm and return all the obtained results (see the return section).

Usage

cluster_resolution_RandomOrderFULL(graph, t = 1, directed = FALSE,
  rep = 10)

Arguments

graph	An igraph network or a data frame of three columns: source, target, and weights.
t	The time-scale parameter of the process which uncovers community structures at different resolutions.
directed	Logical. TRUE if the network is directed. Ignored if graph is an igraph object.
rep	You can choose the number of repetitions. The default is 10.

Value

return list where we have (1) table with each result, (2) modularity for each outcome, (3) the best clustering, (4) the the highest value of modularity which the best clustering has.

Examples

library(igraph)
g <- nexus.get("miserables")
cluster_resolution_RandomOrderFULL(g,directed=FALSE,t=1)
cluster_resolution_RandomOrderFULL(g,directed=FALSE,t=1,rep=20)

analyxcompany/resolution documentation built on May 12, 2019, 2:40 a.m.