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Computational Social Science-Critical Node Detection Problem in Complex Network
主讲:A/Professor Haibo Wang 地点: 思源楼309 时间:2012-09-28 字体<    >

Abstract of the seminar:

"This talk will discuss the measurement challenge of social science and obstacles to the development of computational social science in term of collection of empirical data. This talk will present the current development on a variety of tools and methods to collect the empirical data besides the traditional one-time, self-reported data on relationships in social science study. In addition, this talk will focus on a new mathematical model on analyzing the critical nodes in complex network and its applications on many real world problems such as terrorist network, consultant network, AIDs network, critical infrastructure and others. The solution methodology for solving the mathematical model is also presented.

Bio  

Haibo Wang received a Ph. D. in Production Operations Management, 2004 from The University of Mississippi. He is currently associate professor of decision sciences in the Division of International Business and Technology Studies, College of Business Administration at Texas A&M International University. He has received the scholar of the year award in 2011. He is guest professor and visiting professor of a number of institutions in China and guest editor of several international journals.
He has publications in such outlets as European Journal of Operational Research, ,Computers and Operation Research, IEEE transactions on Control System Technology, IEEE transactions on Automation Science and Engineering, Journal of Operational Research Society, Computers and Industrial Engineering, Journal of Applied Mathematical Modeling, International Journal of Flexible Manufacturing Systems, International Journal of Production Research, Journal of Human and Ecological Risk Assessment, Journal of Heuristics, Communications in Statistics, International Journal of Information Technology and Decision Making, Journal of Combinatorial Optimization, etc."

 

A/Professor Haibo Wang

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