NetworkToolbox (version 0.0.1.0)

RSPBC: Randomized Shortest Paths Betweenness Centrality

Description

Computes betweenness centrlaity based on randomized shortest paths of each node in a network

Usage

RSPBC(A, beta = 0.01)

Arguments

A

An adjacency matrix of network data

beta

Sets the beta parameter. Defaults to 0.01 (recommended). Beta > 0.01 measure gets closer to weighted betweenness centrality (10) and beta < 0.01 measure gets closer to degree (.0001)

Value

A vector of randomized shortest paths betweenness centrality values for each node in the network

References

Kivimaki, I., Lebichot, B., Saramaki, J., & Saerens, M. (2016). Two betweenness centrality measures based on Randomized Shortest Paths. Scientific Reports, 6 (19668), 1-15.

Examples

# NOT RUN {
RSPBC<-RSPBC(A, beta=0.01)
# }