Spatiotemporal Interactive Modeling of Event-based Dynamic Networks.

ABSTRACT: Event-based dynamic networks exist in a wide range of areas, including traffic, biological, and social applications. Such a network consists of interaction event sequences over different locations, where each event may trigger or influence a series of subsequent events under certain intrinsic spatial structure because of their geographical and semantic proximities. Such influence patterns and triggering motivations reflect the nature and semantics of human/object behaviors in the network. Thus, modeling event-based dynamic networks properly is critically important. This paper proposes a spatiotemporal interactive Hawkes process (SIHP) that describes how a series of events occurs and models the rate of interaction events between any pair of nodes on the network explicitly with the informati

SUBMITTER: Wang D 

PROVIDER: S-EPMC12711312 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature