rMultiNet: An R Package For Multilayer Networks Analysis
This provides a tool for researchers working with multilayer networks, but it is incremental as it packages existing methods.
The authors developed an R package called rMultiNet for analyzing multilayer network data, implementing existing frameworks like MMSBM and MMLSM to generate networks and providing methods for node/layer embedding and clustering, with three real data examples processed.
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.