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Computes centrality measures of the network
CentList(A, weighted = TRUE)
An adjacency matrix of network data
Is the network weighted? Defaults to TRUE. Set to FALSE for unweighted list of centrality measures
Returns a list of betweenness, closeness, degree (weighted = strength), and eigenvector centralities
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. Neuroimage, 52(3), 1059-1069.
# NOT RUN { weighted_centralitylist<-CentList(A) unweighted_centralitylist<-CentList(A,weighted=FALSE) # }
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