NetworkToolbox: net.coverage – R documentation

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net.coverage

Network Coverage

Description

Computes the mean distance across a subset of nodes in a network. This measure can be used to identify the effectiveness of a subset of nodes' coverage of the network space

Usage

net.coverage(A, nodes, weighted = FALSE)

Arguments

`A`	An adjacency matrix
`nodes`	Subset of nodes to examine the coverage of the network
`weighted`	Is the network weighted? Defaults to `FALSE`. Set to `TRUE` for weighted measures

Value

Returns a list containing:

`mean`	The average distance from the subset of nodes to all other nodes in the network
`sd`	The standard deviation of distance from the subset of nodes to all other nodes in the network
`range`	The range of distance from the subset of nodes to all other nodes in the network

Author(s)

Alexander Christensen <alexpaulchristensen@gmail.com> and Mathias Benedek <mathias.benedek@uni-graz.at>

References

Christensen, A. P., Cotter, K. N., Silvia, P. J., & Benedek, M. (2018) Scale development via network analysis: A comprehensive and concise measure of Openness to Experience PsyArXiv, 1-40. doi: 10.31234/osf.io/3raxt

Examples

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

nodes <- seq(1,48,2)

result <- net.coverage(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