rMultiNet: An R Package For Multilayer Networks Analysis
Machine Learning
2023-02-10 v1 Machine Learning
Applications
Abstract
This paper develops an R package rMultiNet to analyze multilayer network data. We provide two general frameworks from recent literature, e.g. mixture multilayer stochastic block model(MMSBM) and mixture multilayer latent space model(MMLSM) to generate the multilayer network. We also provide several methods to reveal the embedding of both nodes and layers followed by further data analysis methods, such as clustering. Three real data examples are processed in the package. The source code of rMultiNet is available at https://github.com/ChenyuzZZ73/rMultiNet.
Keywords
Cite
@article{arxiv.2302.04437,
title = {rMultiNet: An R Package For Multilayer Networks Analysis},
author = {Ting Li and Zhongyuan Lyu and Chenyu Ren and Dong Xia},
journal= {arXiv preprint arXiv:2302.04437},
year = {2023}
}