The 4th International Conference on Computational Social Networks (CSoNet 2015)

August 4-6th 2015 - Beijing, China

Keynote Speech

Mathematical Analysis of Community Structure Detection in Complex Networks

Professor Xiang-Sun Zhang
Academy of Mathematics and Systems Science, CAS, Beijing, China.

Community Structure Detection is one of the popular research problems in the Complex Network study, which has closed relationship with Applied Mathematics and Computer Science. This talk introduces the basic definition of the community structure problem and surveys the development of methods finding the community structure in recent ten years, especially those using Optimization methodology such as heuristic models, stochastic optimization models and combinatoric models. From this presentation the author wants to tell that Applied Mathematics and Computer Science play very important roles in the Complex Network study.

Professor Xiang-Sun Zhang is a Research Professor of the Academy of Mathematics and Systems Sciences (AMSS) at the Chinese Academy of Sciences (CAS), Beijing, China. He graduated from the Chinese University of Science and Technology in 1965. He was an assistant professor, associate professor and a full-time research professor in the Institute of Applied Mathematics (IAM), CAS. Professor Zhang was also the Director of the IAM from 1992 to 1998. He has served as Executive Vice President of the Academy of Mathematics and System Sciences (AMSS), CAS, from 1998 to 2003 and as President of Operations Research Society of China (ORSC) from 1996 to 2004. Since 2002, Professor Zhang has served as the Director of the Research Center of Bioinformatics, AMSS. His research and consulting interests include Optimization Theory and Application, Bioinformatics, Complex Networks in the which he published over 170 refereed journal articles, 70 conference papers and several books. Professor Zhang is the Honorary President of the Operations Research Society of China. Moreover, he was the first prize winner in the "OR in Development", awarded by the International Federation of Operations Research Societies (IFORS) at the 14th International Conference at Vancouver, Canada, in 1996.


Computational Influence Optimization in Large-scale Social Networks

Panellists: Dr. Wei Chen, Dr. Jie Tang and Dr. Tao Zhou.

Dr. Wei Chen is a Senior Researcher at Microsoft Research Asia, Beijing, China. Dr. Chen is also an Adjunct Professor at Tsinghua University and a Guest Researcher at the Institute of Computing Technology, Chinese Academy of Sciences. Dr. Chen obtained a Bachelor and Master degree from Department of Computer Science and Technology, Tsinghua University, and a Ph.D. from Department of Computer Science, Cornell University in 2000. Dr. Chen's research interests include social and information networks, networked game theory and economics, online learning, distributed computing, and fault tolerance. Dr. Chen, together with his colleagues, has initiated the study of scalable influence maximization, which has been widely cited and followed upon, and the proposed algorithms such as PMIA, LDAG, and IRIE have been widely used as the state-of-the-art in influence maximization research. Dr. Chen has also done a series of work on modeling complex influence diffusion dynamics (such as competitive diffusion) and their optimization tasks. Dr. Chen has coauthored a monograph "Information and Influence Propagation in Social Networks" in 2013, which systematically summarizes recent advances in computational social influence research.
Dr. Wei Chen won the prestigious William C. Carter Award in 2000 in the area of dependable computing, for his seminal dissertation work on the quality of service of failure detectors. Dr. Chen's co-authored paper on a novel game-theoretic approach for community detection in social networks won the best student paper award in ECML PKDD 2009. Dr. Chen regularly serves as program committee members in top international data mining and data management conferences, such as KDD, WSDM, SDM, SIGMOD, ICDE, WWW, etc. Dr. Chen is a member of the Big Data Task Force of Chinese Computer Federation.

Dr.Jie Tang is an Associate Professor with Department of Computer Science and Technology, Tsinghua University. Dr. Tang interests include social network analysis, data mining, and machine learning. Dr. Tang published more than 100 journal/conference papers and holds 10 patents. Dr. Tang served as PC Co-Chair of WSDM'15, ASONAM'15, ADMA'11, SocInfo'12, KDD-CUP Co-Chair of KDD'15, Poster Co-Chair of KDD'14, Workshop Co-Chair of KDD'13, Local Chair of KDD'12, Publication Co-Chair of KDD'11, and as the PC member of more than 50 international conferences. Dr. Tang is the principal investigator of National High-tech R&D Program (863), NSFC project, Chinese Young Faculty Research Funding, National 985 funding, and international collaborative projects with Minnesota University, IBM, Google, Nokia, Sogou, etc. Dr. Tang leads the project for academic social network analysis and mining, which has attracted millions of independent IP accesses from 220 countries/regions in the world. Dr. Tang was honored with the Newton Advanced Scholarship Award, CCF Young Scientist Award, NSFC Excellent Young Scholar, and IBM Innovation Faculty Award.

Dr. Tao Zhou's main research interests include the data mining, network science and collective dynamics. Dr. Zhou has published many research articles in prestigious journals (e.g., Physics Reports, PNAS), which more than 5000 citations from the Web of Science (H-index = 33), and more than 10,000 citations from the Google Scholar (H-index = 51). Dr. Zhou' works have been reported by several academic media as Nature News, PNAS News, MIT Technology Review,, My Science, TG Daily, Dutch Science Magazine, Chinese Science News, etc.