robin (version 1.1.2)

robinCompare: 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
)

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

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).

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")