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We propose a novel tie-oriented model for longitudinal event network data.The generating mechanism is assumed to be a multivariate Poisson process thatgoverns the onset and repetition of yearly observed events with two separateintensity functions. We apply the model to a network obtained from the numberof international deliveries of combat aircraft trades between 1950 and 2017.Based on a modified trade gravity approach we identify economic and politicalfactors impeding or lightening the number of transfers. Extensive dynamics aswell as country heterogeneity require the specification of semiparametrictime-varying effects as well as random effects.

Separable and Semiparametric Network-based Counting Processes applied to the International Combat Aircraft Trades