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