On finite mixture modeling and model-based clustering of directed weighted multilayer networks
2020
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.
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