On finite mixture modeling and model-based clustering of directed weighted multilayer networks

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. (C) 2020 Elsevier Ltd. All rights reserved.

Automated summary

This paper introduces a novel approach based on mixture models for modeling and clustering directed weighted networks, with computational issues effectively addressed using MCMC techniques. The utility of the method is demonstrated through experiments and applications to real-life data on export trade amounts for European countries.