Predicting Multi-actor collaborations using Hypergraphs

Understand

Social networks are now ubiquitous and most of them contain interactions involving multiple actors (groups) like author collaborations, teams or emails in an organizations, etc.

• Hypergraphs are natural structures to effectively capture multi-actor interactions which conventional dyadic graphs fail to capture.
• In this work the problem of predicting collaborations is addressed while modeling the collaboration network as a hypergraph network.
• The problem of predicting future multi-actor collaboration is mapped to hyperedge prediction problem.