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clustcoeff

Clustering Coefficient


Description

Computes global clustering coefficient (CC) and local clustering coefficient (CCi)

Usage

clustcoeff(A, weighted = FALSE)

Arguments

A

An adjacency matrix of network data

weighted

Is the network weighted? Defaults to FALSE. Set to TRUE for weighted measures of CC and CCi

Value

Returns a list containing:

CC

Global clustering coefficient. The average clustering coefficient for each node in the network

CCi

Local clustering coefficient. The clustering coefficient 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. doi: 10.1016/j.neuroimage.2009.10.003

Examples

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

#Unweighted CC
CCu <- clustcoeff(A)

#Weighted CC
CCw <- clustcoeff(A, weighted=TRUE)

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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