get_node_disparity: Disparity measure of network nodes
In galanisl/DisparityFilter: Disparity filter for complex undirected weighted networks
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Computes the disparity measure of each node in a given weighted network.
Usage
1
get_node_disparity(net)
Arguments
net
igraph; An undirected weighted network.
Value
A numeric vector of length vcount(net) with the disparity
measure of each node.
Author(s)
Gregorio Alanis-Lobato galanisl@uni-mainz.de
References
Serrano, M. A. et al. (2009) Extracting the multiscale backbone
of complex weighted networks. PNAS 106(16).
Barthelemy, M. et al. (2003) Spatial structure of the internet
traffic. Physica A 319.
Examples
1
2
# Compute the disparity of the nodes in the included US Airports network
disp <- get_node_disparity(net = air)
galanisl/DisparityFilter documentation built on May 16, 2019, 5:36 p.m.
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Description Usage Arguments Value Author(s) References Examples
Description
Computes the disparity measure of each node in a given weighted network.
Usage
1 | get_node_disparity(net)
|
Arguments
net |
igraph; An undirected weighted network. |
Value
A numeric vector of length vcount(net) with the disparity
measure of each node.
Author(s)
Gregorio Alanis-Lobato galanisl@uni-mainz.de
References
Serrano, M. A. et al. (2009) Extracting the multiscale backbone of complex weighted networks. PNAS 106(16).
Barthelemy, M. et al. (2003) Spatial structure of the internet traffic. Physica A 319.
Examples
1 2 | # Compute the disparity of the nodes in the included US Airports network
disp <- get_node_disparity(net = air)
|
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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