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NetworkToolbox (version 1.4.2)

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)

References

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

Examples

Run this code
# NOT RUN {
# Pearson's correlation only for CRAN checks
A <- TMFG(neoOpen, normal = FALSE)$A

#Unweighted
PL <- pathlengths(A)

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

# }

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