strength: Node Strength

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

Node Strength

Description

Computes strength of each node in a network

Usage

strength(A, absolute = TRUE)

Arguments

A	An adjacency matrix of network data
absolute	Should network use absolute weights? Defaults to TRUE. Set to FALSE for signed weights

Value

A vector of strength values for each node in the network.

If directed network, returns a list containing:

inStrength	Strength of incoming edges (pointing to the node)
outStrength	Strength of outgoing edges (pointing away from the node)
relInf	Relative degree of incoming and outgoing edges. Positive values indicate more outgoing strength relative to incoming strength. Negative values indicate more incoming strength relative to outgoing strength

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

str <- strength(A)

#Directed network
## Not run: 
dep <- depend(neoOpen)

Adep <- TMFG(dep, depend = TRUE)$A

str <- strength(Adep)

## End(Not run)

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