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NetworkToolbox (version 0.0.1.0)

Hybrid: Hybrid Centrality

Description

Computes hybrid centrality of each node in a network

Usage

Hybrid(A)

Arguments

A

An adjacency matrix of network data

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

Run this code
# NOT RUN {
HC<-Hybrid(A)
# }

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