UrbanHubble: Location Prediction and Geo-Social Analytics in LBSN

Roland Assam, Simon Feiden, Thomas Seidl

Abstract: Massive amounts of geo-social data is generated daily. In this paper, we propose UrbanHubble, a location-based predictive analytics tool that entails a broad range of state-of-the-art location prediction and recommendation algorithms. Besides, UrbanHubble consists of a visualization component that depicts the real-time complex interactions of users on a map, the evolution of friendships over time, and how friendship triggers mobility.