The construction and application of knowledge graphs have seen a rapid increase across many disciplines in recent years.
Public goods games study the incentives of individuals to contribute to a public good and their behaviors in equilibria.
Computer Science and Game Theory
Body-worn cameras are now commonly used for logging daily life, sports, and law enforcement activities, creating a large volume of archived footage.
There is often latent network structure in spatial and temporal data and the tools of network analysis can yield fascinating insights into such data.
We present a generic framework for spatio-temporal (ST) data modeling, analysis, and forecasting, with a special focus on data that is sparse in both space and time.
We propose a latent self-exciting point process model that describes geographically distributed interactions between pairs of entities.