Relational hyperevent models for polyadic interaction networks

Jürgen Lerner, Alessandro Lomi
2023 Journal of the Royal Statistical Society / A (2023). doi:10.1093/jrsssa/qnac012  
Polyadic, or 'multicast' social interaction networks arise when one sender addresses multiple receivers simultaneously. Available relational event models are not well suited to the analysis of polyadic interaction networks because they specify event rates for sets of receivers as functions of dyadic covariates associated with the sender and one receiver at a time. Relational hyperevent models (RHEM) address this problem by specifying event rates as functions of hyperedge covariates associated
more » ... th the sender and the entire set of receivers. We illustrate the empirical value of RHEM in a comparative reanalysis of the canonical Enron email data set.
doi:10.18154/rwth-2023-02029 fatcat:4cx5x45xwrenfa4opoyh7rq6wq