Multinets
Multilevel Network Analysis
Install / Use
/learn @neylsoncrepalde/MultinetsREADME
multinets: Multilevel Network Analysis
<!-- README.md is generated from README.Rmd. Please edit that file -->
multinets is an R package that provides tools to visualize and analyze
Multilevel Network Data. It was built as an extension to the
igraph package.
Installation
The multinets package is on CRAN. It is developed under control
version using Git and is hosted in GitHub. You can download it from CRAN
using:
install.packages("multinets")
You can download the development version from GitHub using devtools:
# install.packages("devtools")
devtools::install_github("neylsoncrepalde/multinets")
Usage
As a basic example, we will plot a multilevel network. We are going to
use linked_sim, a simulated multilevel network dataset.
library(igraph)
#>
#> Attaching package: 'igraph'
#> The following objects are masked from 'package:stats':
#>
#> decompose, spectrum
#> The following object is masked from 'package:base':
#>
#> union
library(multinets)
#> multinets was developed by Neylson Crepalde as an extension to 'igraph'
# Load the dataset
data("linked_sim")
# Test if the data is a multilevel network
is_multilevel(linked_sim)
#> [1] TRUE
# Set the layout coordinates
l <- layout_multilevel(linked_sim, layout = layout_with_kk)
# Set different colors and shapes for each level vertices
linked_sim <- set_color_multilevel(linked_sim)
linked_sim <- set_shape_multilevel(linked_sim)
# Plot
plot(linked_sim, layout = l, vertex.size = 5, vertex.label = NA)
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