NetworkToolbox: comm.str – R documentation

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comm.str

Community Strength/Degree Centrality

Description

Computes the community strength/degree centrality measure of each community in a network or computes the strength/degree centrality measure of each community's connections to the other communities

Usage

comm.str(A, comm, weighted = TRUE, measure = c("within", "between"))

Arguments

`A`	An adjacency matrix of network data
`comm`	A vector corresponding to the community each node belongs to
`weighted`	Is the network weighted? Defaults to `TRUE`. Set to `FALSE` for weighted measures
`measure`	Type of measure to compute: `"within"` Computes the community strength or degree of nodes within its own community `"between"` Computes the community strength or degree of nodes outside of its own community

Value

A vector of community strength/degree centrality values for each specified community in the network (larger values suggest more central positioning)

Author(s)

Alexander Christensen <alexpaulchristensen@gmail.com>

Examples

# Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A

comm <- igraph::walktrap.community(convert2igraph(abs(A)))$membership

#Strength
within.ns <- comm.str(A, comm, measure = "within")
between.ns <- comm.str(A, comm, measure = "between")

#Degree
within.deg <- comm.str(A, comm, weighted = FALSE, measure = "within")
between.deg <- comm.str(A, comm, weighted = FALSE, measure = "between")

NetworkToolbox

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

v1.4.1

GPL (>= 3.0)

Authors

Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)

Initial release

2020-12-07