NetworkToolbox (version 1.4.2)

eigenvector: Eigenvector Centrality

Description

Computes eigenvector centrality of each node in a network

Usage

eigenvector(A, weighted = TRUE)

Arguments

A

An adjacency matrix of network data

weighted

Is the network weighted? Defaults to TRUE. Set to FALSE for unweighted measure of eigenvector centrality

Value

A vector of eigenvector centrality values 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

#Weighted
EC <- eigenvector(A)

#Unweighted 
EC <- eigenvector(A, weighted = FALSE)

# }