报告摘要：The development of social networking has led to the explosion of new data, which promotes us to mine valuable information from the network data. Since then, the explorations of influence ranking, community detection, link predictionand privacy protection have become the hot topicsconcerning social networks. The report attempt to review the vigor and vitality of graph theory in these topic along with our rough endeavor, and then introduce some new trends of social network analysis.
报告人简介：Shuming Zhou received the Ph. D degree in Mathematics from Xiamen University, China, in June 2005. He then joined the School of Mathematics and informatics, Fujian Normal University. Now, he is a professor and Ph. D Supervisor. He was a visiting scholar at University of Science and Technology of China (2010.9-2011.7). Before that, he received the B.S. degree from Hubei Institute for Nationalities in 1996, and received the M.S. degrees in Jiangxi Normal University in 2002.
His research interests include topics in graph theory, interconnection networks, fault tolerant computing, social network and big data analysis. He has coauthored over 80 technical papers in international journals such as IEEE TC, IEEE TPDS, IEEE TR, INS, TCS, JPDC, DAM, PLA and Physica A on these topics since 2005.