Community Closeness Centrality
Computes the community closeness centrality measure of each community in a network
comm.close(A, comm, weighted = FALSE)
A |
An adjacency matrix of network data |
comm |
A vector or matrix corresponding to the community each node belongs to |
weighted |
Is the network weighted?
Defaults to |
A vector of community closeness centrality values for each specified community in the network (larger values suggest more central positioning)
Alexander Christensen <alexpaulchristensen@gmail.com>
Christensen, A. P. (in press). NetworkToolbox: Methods and measures for brain, cognitive, and psychometric network analysis in R. The R Journal, 10, 422-439.
# Pearson's correlation only for CRAN checks A <- TMFG(neoOpen, normal = FALSE)$A comm <- igraph::walktrap.community(convert2igraph(abs(A)))$membership #Weighted result <- comm.close(A, comm) #Unweighted result <- comm.close(A, comm, weighted = FALSE)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.