NetworkToolbox (version 1.4.2)

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

References

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

Examples

# NOT RUN {
# 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)

# }