rMultiNet: An R Package For Multilayer Networks Analysis

TL;DR

The paper introduces rMultiNet, an R package designed for analyzing multilayer networks, offering models, embedding methods, and real data examples to facilitate complex network analysis.

Contribution

It provides a comprehensive R package implementing recent multilayer network models and analysis tools, including embedding and clustering methods.

Findings

Implemented two multilayer network models: MMSBM and MMLSM.

Demonstrated the package with three real data examples.

Provided source code for reproducibility and further research.

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.