NetworkToolbox (version 1.1.1)

hybrid: Hybrid Centrality

Description

Computes hybrid centrality of each node in a network

Usage

hybrid(A, BC = c("standard", "random", "average"), beta)

Arguments

A

An adjacency matrix of network data

BC

How should the betweenness centrality be computed? Defaults to "standard". Set to "random" for rspbc. Set to "average" for the average of "standard" and "random"

beta

Beta parameter to be passed to the rspbc function

Value

A vector of hybrid centrality values for each node in the network (higher values are more central, lower values are more peripheral)

References

Pozzi, F., Di Matteo, T., & Aste, T. (2013). Spread of risk across financial markets: Better to invest in the peripheries. Scientific Reports, 3(1655), 1-7.

Examples

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

HC<-hybrid(A)
# }