flow.frac: Flow Fraction

In NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

Description

Computes eigenvector centrality over nodes in a subset of nodes in the network. This measure generalizes across any subset of nodes and is not specific to communities

Usage

flow.frac(A, nodes)

Arguments

A	An adjacency matrix
nodes	A subset of nodes in the network

Value

Returns a flow fraction value

Author(s)

Alexander Christensen <[e-mail]>

References

Giscard, P. L., & Wilson, R. C. (2018). A centrality measure for cycles and subgraphs II. Applied Network Science, 3, 9.

Examples

# Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A

nodes <- seq(1,48,2)

result <- flow.frac(A, nodes)

NetworkToolbox documentation built on May 28, 2021, 5:11 p.m.