We investigate different models for detecting and classifying important geopolitical events in high-frequency spatiotemporal network data. Building on previous empirical work on the network response to real-world events, our goal is to develop a generative model that can identify the time, location, and nature of different emergency and non-emergency events. As a testbed for these models, we us...
