eigenvector | R Documentation |
Computes eigenvector centrality of each node in a network
eigenvector(A, weighted = TRUE)
A |
An adjacency matrix of network data |
weighted |
Is the network weighted?
Defaults to |
A vector of eigenvector centrality values for each node in the network
Alexander Christensen <alexpaulchristensen@gmail.com>
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.
# Pearson's correlation only for CRAN checks A <- TMFG(neoOpen, normal = FALSE)$A #Weighted EC <- eigenvector(A) #Unweighted EC <- eigenvector(A, weighted = FALSE)
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