Abstract:
Social analytics refers the use of data and decision analytics techniques to gain insights about individuals, communities and population at large. To support social analytics research, we need new theories, models, algorithms and systems creating unprecedented challenges and opportunities for computer science researchers. In this talk, we will give an overview of our social analytics research on Twitter data, a popular microblogging site. Our research covers projects ranging from realtime stream data processing, realtime content search, event detection, link mining, behavior mining, and sentiment analysis. We will also feature our ongoing system research that aims to support user-friendly realtime social analytics using publicly available data. With an integrated data, algorithm and system approach, we hope to pursue a new set of research problems that involve meaningful collaboration between researchers from computer science and other academic disciplines.

 

Short Biography:

Ee-Peng Lim is a professor at the School of Information Systems of Singapore Management University (SMU). He received Ph.D. from the University of Minnesota, Minneapolis in 1994 and B.Sc. in Computer Science from National University of Singapore. His research interests include social network and web mining, information integration, and digital libraries. He is a Co-Director of the Living Analytics Research Center at SMU. He is currently an Associate Editor of the ACM Transactions on Information Systems (TOIS), Information Processing and Management (IPM), Social Network Analysis and Mining, Journal of Web Engineering (JWE), IEEE Intelligent Systems, International Journal of Digital Libraries (IJDL) and International Journal of Data Warehousing and Mining (IJDWM). He was a member of the ACM Publications Board until December 2012. He serves on the Steering Committee of the International Conference on Asian Digital Libraries (ICADL), Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), and International Conference on Social Informatics (SocInfo).