leverage: Leverage Centrality

Description Usage Arguments Value Author(s) References Examples

View source: R/leverage.R

Description

Computes leverage centrlaity of each node in a network (the degree of connected neighbors; Please see and cite Joyce et al., 2010)

Usage

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leverage(A, weighted = TRUE)

Arguments

A

An adjacency matrix of network data

weighted

Is the network weighted? Defaults to TRUE. Set to FALSE for unweighted measure of leverage centrality

Value

A vector of leverage centrality values for each node in the network

Author(s)

Alexander Christensen <[email protected]>

References

Joyce, K. E., Laurienti, P. J., Burdette, J. H., & Hayasaka, S. (2010). A new measure of centrality for brain networks. PLoS One, 5 e12200. doi: 10.1371/journal.pone.0012200

Examples

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A <- TMFG(neoOpen)$A

#Weighted
levW <- leverage(A)

#Unweighted
levU <- leverage(A, weighted = FALSE)

AlexChristensen/NetworkToolbox documentation built on Nov. 6, 2018, 2:54 a.m.