rMultiNet：一个用于多层网络分析的R软件包
rMultiNet: An R Package For Multilayer Networks Analysis
摘要：
本文开发了一个R包rMultiNet来分析多层网络数据。我们从最近的文献中提供了两个通用的框架，例如混合多层随机块模型（MMSBM）和混合多层潜在空间模型（MMLSM）来生成多层网络。我们还提供了几种方法来揭示节点和层的嵌入，然后是进一步的数据分析方法，如聚类。在该软件包中处理了三个实际数据实例。rMultiNet的源代码可在https://github.com/ChenyuzZZ73/rMultiNet上获得。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
