multitrap.community: Constructs a two-step clustering, first running...

Description Usage Arguments Value

View source: R/communities.R

Description

Constructs a two-step clustering, first running multilevel.communities, and then walktrap.communities within each These are combined into an overall hierarchy

Usage

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multitrap.community(
  graph,
  n.cores = parallel::detectCores(logical = FALSE),
  hclust.link = "single",
  min.community.size = 10,
  verbose = FALSE,
  level = NULL,
  ...
)

Arguments

graph

graph

n.cores

numeric Number of cores to use (default=parallel::detectCores(logical=FALSE))

hclust.link

character Link function to use when clustering multilevel communities (based on collapsed graph connectivity) (default='single')

min.community.size

numeric Minimal community size parameter for the walktrap communities .. communities smaller than that will be merged (default=10)

verbose

boolean Whether to output progress messages (default=FALSE)

level

numeric What level of multitrap clustering to use in the starting step. By default, uses the top level. An integer can be specified for a lower level (i.e. 1) (default=NULL)

...

passed to walktrap

Value

a fakeCommunities object that has methods membership() and as.dendrogram() to mimic regular igraph returns


conos documentation built on Feb. 23, 2021, 9:06 a.m.