plot_degree_vs_disparity: Visualise node disparities as a function of node degree
In galanisl/DisparityFilter: Disparity filter for complex undirected weighted networks
Description
Usage
Arguments
Value
Author(s)
References
Examples
Description
Given an undirected weighted network and node disparities precomputed with
function get_node_disparity,
generates a ggplot comparing node disparities as a function of node degree.
Reference lines for null disparities, perfect node homogeneity and perfect
node heterogeneity are also shown.
Usage
1
plot_degree_vs_disparity(net, node_disp)
Arguments
net
igraph; An undirected weighted network.
node_disp
numeric; Numeric vector of length vcount(net) with
the disparity measure of each node in the network.
Value
A ggplot comparing node disparities as a function of node degree.
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).
Examples
1
2
3
4
# Compute the disparity of the nodes in the included US Airports network
disp <- get_node_disparity(net = air)
# Plot degree vs disparities
p <- plot_degree_vs_disparity(net = air, node_disp = disp)
galanisl/DisparityFilter documentation built on May 16, 2019, 5:36 p.m.
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.
Description Usage Arguments Value Author(s) References Examples
Description
Given an undirected weighted network and node disparities precomputed with
function get_node_disparity,
generates a ggplot comparing node disparities as a function of node degree.
Reference lines for null disparities, perfect node homogeneity and perfect
node heterogeneity are also shown.
Usage
1 | plot_degree_vs_disparity(net, node_disp)
|
Arguments
net |
igraph; An undirected weighted network. |
node_disp |
numeric; Numeric vector of length |
Value
A ggplot comparing node disparities as a function of node degree.
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).
Examples
1 2 3 4 | # Compute the disparity of the nodes in the included US Airports network
disp <- get_node_disparity(net = air)
# Plot degree vs disparities
p <- plot_degree_vs_disparity(net = air, node_disp = disp)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.