comm.close: Community Closeness Centrality

In NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

Description

Computes the community closeness centrality measure of each community in a network

Usage

comm.close(A, comm, weighted = FALSE)

Arguments

A	An adjacency matrix of network data
comm	A vector or matrix corresponding to the community each node belongs to
weighted	Is the network weighted? Defaults to FALSE. Set to TRUE for weighted measures

Value

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

Author(s)

Alexander Christensen <[e-mail]>

References

Christensen, A. P. (in press). NetworkToolbox: Methods and measures for brain, cognitive, and psychometric network analysis in R. The R Journal, 10, 422-439.

Examples

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

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

#Weighted
result <- comm.close(A, comm)

#Unweighted
result <- comm.close(A, comm, weighted = FALSE)

NetworkToolbox documentation built on May 28, 2021, 5:11 p.m.