Abstract A novel approach relying on the notion of mixture models is proposed for modeling and clustering directed weighted networks. The developed methodology can be used in a variety of settings including multilayer networks. Computational issues associated with the developed procedure are effectively addressed by the use of MCMC techniques. The utility of the methodology is illustrated on a set of experiments as well as applications to real-life data containing export trade amounts for European countries.

中文翻译：

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有向加权多层网络的有限混合建模和基于模型的聚类

摘要 提出了一种基于混合模型概念的新方法，用于对有向加权网络进行建模和聚类。开发的方法可用于各种设置，包括多层网络。通过使用 MCMC 技术，可以有效地解决与开发的程序相关的计算问题。该方法的效用通过一组实验以及对包含欧洲国家出口贸易额的实际数据的应用来说明。