NetworkToolbox: pathlengths – R documentation

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pathlengths

Characteristic Path Lengths

Description

Computes global average shortest path length, local average shortest path length, eccentricity, and diameter of a network

Usage

pathlengths(A, weighted = FALSE)

Arguments

`A`	An adjacency matrix of network data
`weighted`	Is the network weighted? Defaults to `FALSE`. Set to `TRUE` for weighted measures

Value

Returns a list containing:

`ASPL`	Global average shortest path length
`ASPLi`	Local average shortest path length
`ecc`	Eccentricity (i.e., maximal shortest path length between a node and any other node)
`D`	Diameter of the network (i.e., the maximum of eccentricity)

Author(s)

Alexander Christensen <alexpaulchristensen@gmail.com>

References

Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.

Examples

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

#Unweighted
PL <- pathlengths(A)

#Weighted
PL <- pathlengths(A, weighted = TRUE)

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