NetworkToolbox: flow.frac – R documentation

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flow.frac

Flow Fraction

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 <alexpaulchristensen@gmail.com>

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

Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis

v1.4.1

GPL (>= 3.0)

Authors

Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Guido Previde Massara [ctb] (<https://orcid.org/0000-0003-0502-2789>)

Initial release

2020-12-07