pathlengths: Characteristic Path Lengths

Description Usage Arguments Value Author(s) References Examples

Description

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

Usage

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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

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

#Unweighted
PL <- pathlengths(A)

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

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