NetworkToolbox (version 1.2.3)

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. doi: 10.1016/j.neuroimage.2009.10.003

Examples

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

#Weighted
EC <- eigenvector(A)

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

# }