betweenness: Betweenness Centrality
In AlexChristensen/NetworkToolbox: Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis
betweenness R Documentation
Betweenness Centrality
Description
Computes betweenness centrality of each node in a network
Usage
betweenness(A, weighted = TRUE)
Arguments
A
An adjacency matrix of network data
weighted
Is the network weighted?
Defaults to TRUE.
Set to FALSE for unweighted measure of betweenness centrality
Value
A vector of betweenness centrality values for each node in the network
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)$A
#Weighted BC
BCw <- betweenness(A)
#Unweighted BC
BC <- betweenness(A, weighted = FALSE)
AlexChristensen/NetworkToolbox documentation built on March 6, 2023, 5:08 p.m.
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| betweenness | R Documentation |
Betweenness Centrality
Description
Computes betweenness centrality of each node in a network
Usage
betweenness(A, weighted = TRUE)
Arguments
A |
An adjacency matrix of network data |
weighted |
Is the network weighted?
Defaults to |
Value
A vector of betweenness centrality values for each node in the network
Author(s)
Alexander Christensen <alexpaulchristensen@gmail.com>
References
Rubinov, M., & Sporns, O. (2010). Complex network measures of brain connectivity: Uses and interpretations. NeuroImage, 52, 1059-1069.
Examples
# Pearson's correlation only for CRAN checks A <- TMFG(neoOpen, normal = FALSE)$A #Weighted BC BCw <- betweenness(A) #Unweighted BC BC <- betweenness(A, weighted = FALSE)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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