Title

Session 4: Model-based Clustering of Directed Weighted Networks

Presentation Type

Invited

Track

Methodology

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. The utility of the methodology is illustrated on synthetic data as well as real-life data containing trade operations among European Union members.

Start Date

2-8-2022 9:50 AM

End Date

2-8-2022 10:50 AM

This document is currently not available here.

Share

COinS
 
Feb 8th, 9:50 AM Feb 8th, 10:50 AM

Session 4: Model-based Clustering of Directed Weighted Networks

Herold Crest 253 C

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. The utility of the methodology is illustrated on synthetic data as well as real-life data containing trade operations among European Union members.