net.coverage: Network Coverage

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

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 <[e-mail]> and Mathias Benedek <[e-mail]>

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.

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