clustcoeff: Clustering Coefficient

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

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 <[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

#Unweighted CC
CCu <- clustcoeff(A)

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

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