Unaccounted nodal heterogeneity in relational event models induces spurious triadic effects that a random sender-receiver effects extension can mitigate.
Journal Of The Royal Statistical Society 75(5), 821–849 (2013)
2 Pith papers cite this work. Polarity classification is still indexing.
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Reviews asymptotic normality conditions for counting-process REMs under varying limits of n and T, with simulations illustrating effects of modeling choices like windowing and log transforms on Cox-type models.
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Nodal heterogeneity can induce ghost triadic effects in relational event models
Unaccounted nodal heterogeneity in relational event models induces spurious triadic effects that a random sender-receiver effects extension can mitigate.
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A Counting Process View of Relational Event Models: Practical Asymptotics
Reviews asymptotic normality conditions for counting-process REMs under varying limits of n and T, with simulations illustrating effects of modeling choices like windowing and log transforms on Cox-type models.