SemNeT (version 1.4.4)

CC: Clustering Coefficient

Description

Computes global clustering coefficient CC

Usage

CC(A, weighted = FALSE)

Value

Returns the network's CC

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

Author

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(similarity(sim.fluency(100), method = "cor"))

# Unweighted
cc <- CC(A)