NetworkToolbox (version 1.1.1)

centlist: List of Centrality Measures

Description

Computes centrality measures of the network

Usage

centlist(A, weighted = TRUE)

Arguments

A

An adjacency matrix of network data

weighted

Is the network weighted? Defaults to TRUE. Set to FALSE for unweighted list of centrality measures

Value

Returns a list of betweenness, closeness, degree (weighted = strength), eigenvector, and leverage centralities

References

Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. Neuroimage, 52(3), 1059-1069.

Examples

# NOT RUN {
A<-TMFG(neoOpen)$A

weighted_centralitylist<-centlist(A)

unweighted_centralitylist<-centlist(A, weighted=FALSE)
# }