closeness: Closeness Centrality

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

Description

Computes closeness centrality of each node in a network

Usage

closeness(A, weighted = TRUE)

Arguments

A	An adjacency matrix of network data
weighted	Is the network weighted? Defaults to TRUE. Set to FALSE for unweighted measure of closeness centrality

Value

A vector of closeness centrality values for each node in the network

Author(s)

Alexander Christensen <[e-mail]>

References

Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.

Examples

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

#Weighted LC
LC <- closeness(A)

#Unweighted LC
LC <- closeness(A, weighted = FALSE)

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