Description Usage Arguments Value Author(s) References Examples
Computes betweenness centrality of each node in a network
1 | betweenness(A, weighted = TRUE)
|
A |
An adjacency matrix of network data |
weighted |
Is the network weighted?
Defaults to |
A vector of betweenness 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.
1 2 3 4 5 6 7 8 | # Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A
#Weighted BC
BCw <- betweenness(A)
#Unweighted BC
BC <- betweenness(A, weighted = FALSE)
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