pathlengths: Characteristic Path Lengths

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

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 <[e-mail]>

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)

AlexChristensen/NetworkToolbox documentation built on March 6, 2023, 5:08 p.m.