conos: multimulti.community – R documentation

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multimulti.community

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

Description

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

Usage

multimulti.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)
`...`	arguments passed to walktrap

Value

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

conos

Clustering on Network of Samples

v1.4.0

GPL-3

Authors

Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre]

Initial release