R: Recursive leiden communities Constructs an n-step recursive...

rleiden.community {leidenAlg} | R Documentation

## Recursive leiden communities Constructs an n-step recursive clustering, using leiden.community

### Description

Recursive leiden communities Constructs an n-step recursive clustering, using leiden.community

### Usage

    rleiden.community(
      graph,
      max.depth = 2,
      n.cores = parallel::detectCores(logical = FALSE),
      min.community.size = 10,
      verbose = FALSE,
      resolution = 1,
      cur.depth = 1,
      hierarchical = TRUE,
      ...
    )

### Arguments

`graph` | graph
`max.depth` | Recursive depth (default=2)
`n.cores` | integer Number of cores to use (default = parallel::detectCores(logical=FALSE)). If logical=FALSE, uses the number of physical CPUs/cores. If logical=TRUE, uses the logical number of CPUS/cores. See parallel::detectCores()
`min.community.size` | integer 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)
`resolution` | resolution parameter passed to leiden.community (either a single value, or a value equivalent to max.depth) (default=1)
`cur.depth` | integer Current depth of clustering (default=1)
`hierarchical` | boolean If TRUE, calculate hierarchy on the multilevel clusters (default=TRUE)
`...` | passed to leiden.community

### Value

a fakeCommunities object that returns membership and dendrogram

### Examples

    rleiden.community(exampleGraph, n.cores=1)

[Package leidenAlg version 1.0.2 Index]