rewireCompl: rewireCompl

Description

rewires the graph, creates the communities and compares the communities through different measures.

Usage

rewireCompl(
  data,
  number,
  community,
  method = c("walktrap", "edgeBetweenness", "fastGreedy", "louvain", "spinglass",
    "leadingEigen", "labelProp", "infomap", "optimal", "other"),
  FUN = NULL,
  measure = c("vi", "nmi", "split.join", "adjusted.rand"),
  directed = FALSE,
  weights = NULL,
  steps = 4,
  spins = 25,
  e.weights = NULL,
  v.weights = NULL,
  nb.trials = 10,
  resolution = 1
)

Arguments

data: The output of prepGraph
number: Number of rewiring trials to perform.
community: Community to compare with.
method: The clustering method, one of "walktrap", "edgeBetweenness", "fastGreedy", "louvain", "spinglass", "leadingEigen", "labelProp", "infomap".
FUN: see methodCommunity.
measure: The measure for the comparison of the communities "vi", "nmi", "split.join", "adjusted.rand"
directed: This argument is settable only for "edgeBetweenness" method
weights: this argument is not settable for "infomap" method
steps: this argument is settable only for "leadingEigen"and"walktrap" method
spins: This argument is settable only for "infomap" method
e.weights: This argument is settable only for "infomap" method
v.weights: This argument is settable only for "infomap" method
nb.trials: This argument is settable only for "infomap" method
resolution: only for "louvain" and "leiden". Optional resolution parameter, lower values typically yield fewer, larger clusters (default=1).