robinCompare: robinCompare

In robin: ROBustness in Network

robinCompare

Description

This function compares the robustness of two community detection algorithms.

Usage

robinCompare(
  graph,
  method1 = c("walktrap", "edgeBetweenness", "fastGreedy", "leadingEigen", "louvain",
    "spinglass", "labelProp", "infomap", "optimal", "other"),
  method2 = c("walktrap", "edgeBetweenness", "fastGreedy", "leadingEigen", "louvain",
    "spinglass", "labelProp", "infomap", "optimal", "other"),
  FUN1 = NULL,
  FUN2 = NULL,
  measure = c("vi", "nmi", "split.join", "adjusted.rand"),
  type = c("independent", "dependent"),
  directed = FALSE,
  weights = NULL,
  steps = 4,
  spins = 25,
  e.weights = NULL,
  v.weights = NULL,
  nb.trials = 10,
  verbose = TRUE
)

Arguments

graph	The output of prepGraph.
method1	The first clustering method, one of "walktrap", "edgeBetweenness", "fastGreedy", "louvain", "spinglass", "leadingEigen", "labelProp", "infomap","optimal".
method2	The second custering method one of "walktrap", "edgeBetweenness","fastGreedy", "louvain", "spinglass", "leadingEigen", "labelProp", "infomap","optimal".
FUN1	personal designed function when method1 is "others". see methodCommunity.
FUN2	personal designed function when method2 is "others". see methodCommunity.
measure	The stability measure, one of "vi", "nmi", "split.join", "adjusted.rand" all normalized and used as distances. "nmi" refers to 1- nmi and "adjusted.ran" refers to 1-adjusted.rand.
type	The type of robin construction, dependent or independent.
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.
verbose	flag for verbose output (default as TRUE).

Value

A list object with two matrices: - the matrix "Mean1" with the means of the procedure for the first method - the matrix "Mean2" with the means of the procedure for the second method

Examples

my_file <- system.file("example/football.gml", package="robin")
graph <- prepGraph(file=my_file, file.format="gml")
robinCompare(graph=graph, method1="louvain", 
method2="fastGreedy", measure="vi", type="independent")

robin documentation built on May 17, 2022, 1:07 a.m.