B1761
Title: Model-based clustering of directed weighted networks
Authors: Volodymyr Melnykov - The University of Alabama (United States) [presenting]
Shuchismita Sarkar - Bowling Green State University (United States)
Yana Melnykov - The University of Alabama (United States)
Abstract: An approach relying on the notion of mixture models is proposed for modeling and clustering directed weighted networks. The proposed methodology can be used in many settings including modeling multilayer networks. Computational issues associated with the developed procedure are addressed by the use of a MCMC procedure. An extension to modeling dynamic networks by means of mixtures of tensor normal distributions is discussed. The utility of the methodology is illustrated on synthetic data as well as real-life data containing trade operations among European Union members.
