30 citations · 54 across the 5 of their papers we have counts for
5 papers
Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
Martina Boschi, Jürgen Lerner, Ernst C. Wit
Recent technological advances have made it easier to collect large and complex networks of time-stamped relational events connecting two or more entities. Relational hyper-event mo…
Relational hyperevent models for the coevolution of coauthoring and citation networks
Jürgen Lerner, Marian-Gabriel Hâncean, Alessandro Lomi
The development of suitable statistical models for the analysis of bibliographic networks has trailed behind the empirical ambitions expressed by recent studies of science of scien…
Relational hyperevent models for polyadic interaction networks
Jürgen Lerner, Alessandro Lomi
Polyadic, or "multicast" social interaction networks arise when one sender addresses multiple receivers simultaneously. Currently available relational event models (REM) are not we…
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…
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…