Dynamic Latent Space Modeling of Inhomogeneous Poisson Network Processes with Applications to International Relations
We study continuous-time relational event data, where time-stamped dyadic interactions reflect both individual node propensities and evolving relational proximity. We propose a dynamic latent space model for inhomogeneous Poisson processes, where event intensities depend on node-specific activity parameters and time-va...