Abstract: The proliferation of GPS-enabled mobile devises and the popularity of social networking have recently led to the rapid growth of Geo-Social Networks (GeoSNs). GeoSNs have created a fertile ground for novel location-based social interactions, advertising and market analysis. In this presentation I will talk about i) GeoSN queries, which extract useful information combining both the social relationships and the current location of the users, ii) Geo-Social Ranking that ranks the users based on their social and spatial attributes, and iii) Real-Time Multi-criteria Graph Partitioning (RMGP) task for partitioning the social graph of a GeoSN.
Short Bio:
Dimitris Papadias is a Professor of Computer Science and Engineering, Hong Kong University of Science and Technology. Before joining HKUST in 1997, he worked and studied at the German National Research Center for Information Technology (GMD), the National Center for Geographic Information and Analysis (NCGIA, Maine), the University of California at San Diego, the Technical
University of Vienna, the National Technical University of Athens, Queen’s University (Canada), and University of Patras (Greece). He serves or has served in the editorial boards of the VLDB Journal, IEEE Transactions on Knowledge and Data Engineering, and Information Systems. He was the Program Chair of SIGMOD 2013.
Realtimetech co.![]() |
Pusan National University![]() |
Oracle![]() |
ESRI![]() |
Gaia3D Inc.![]() |
QBS System Limited![]() |
Research Institute of Computers, Information, and Communication Pusan National University ![]() |
LNCS, Springer![]() |
KDNuggets ![]() |
Korea Spatial Information Society![]() |
KIISE Database Society of Korea![]() |