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
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.