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closeness

Closeness Centrality

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 <alexpaulchristensen@gmail.com>

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

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

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