30 citations · 54 across the 5 of their papers we have counts for
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cs.SI2019★ 4 cited
REM beyond dyads: relational hyperevent models for multi-actor interaction networks
Jürgen Lerner, Mark Tranmer, John Mowbray +1
We introduce relational hyperevent models (RHEM) as a generalization of relational event models to events occurring on hyperedges involving any number of actors. RHEM can specify t…
cs.SI2019★ 4 cited
Reliability of relational event model estimates under sampling: how to fit a relational event model to 360 million dyadic events
Jürgen Lerner, Alessandro Lomi
We assess the reliability of relational event model parameters estimated under two sampling schemes: (1) uniform sampling from the observed events and (2) case-control sampling whi…