The era of big data raises numerous behavior records of social entities, which results in a serious challenge to traditional analytic techniques because of the correlation between big data and social characteristics. Therefore, the way of exploiting domain knowledge for precisely understanding the social entities have become research hotspots in the literature. In this report, we will first demonstrate the multiple-dimensional description of social entities, and then introduce our research studies on two main issues, i.e., the cognitive modeling and the collaborative behaviors analysis of individuals.
Dr. Enhong Chen is currently a professor and vice Dean of School of Computer Science, the vice Director of the National Engineering Laboratory for Speech and Language Information Processing at University of Science and Technology of China (USTC). He is the Distinguished Young Scholar of the National Natural Science Foundation of China.His research interests include data mining and machine learning, social network analysis and recommender systems. He has published over 100 papers in refereed journals and conferences, including TKDE, TMC, TKDD, TIST, IJCAI, AAAI, KDD, ICDM, CIKM and Nature Communications. He is an associate editor of WWW Journal, IEEE Transactions on Systems, Man, and Cybernetics: Systems,etc. He was on program committees of numerous conferences including IJCAI, AAAI, KDD, ICDM, SDM. He was a PC Chair of China Conference of Data Mining (CCDM) 2014, China National Computer Conference (CNCC) 2015. He received the Best Application Paper Award on KDD’08, the Best Research Paper Award on ICDM’11 and the Best of SDM’15 Award. Also, he is an IEEE senior member since 2007, Fellow of China Computer Federation (CCF).