NetworkToolbox (version 1.2.2)

comm.close: Community Closeness Centrality

Description

Computes the community closeness centrality measure of each community in a network

Usage

comm.close(A, comm, weighted = FALSE)

Arguments

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 FALSE. Set to TRUE for weighted measures

Value

A vector of community closeness centrality values for each specified community in the network (larger values suggest more central positioning)

References

Christensen, A. P., Cotter, K. N., Silvia, P. J., & Benedek, M. (2018) Scale development via network analysis: A comprehensive and concise measure of Openness to Experience PsyArXiv, 1-40. doi: 10.31234/osf.io/3raxt

Examples

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

comm <- igraph::walktrap.community(convert2igraph(abs(A)))$membership

#Weighted
result <- comm.close(A, comm)

#Unweighted
result <- comm.close(A, comm, weighted = FALSE)

# }