演讲人： Dr. Quan Bai, senior lecturer (School of Engineering, Computer and Mathematical Sciences，Auckland University of Technology, New Zealand)

地点： AMSS South Building N109

Date:  Aug. 20, 2018 (Monday)

Time：10:30-12:00

 

Abstract: With the widespread of the Internet, the on-line social network with big data is rapidly developing over time. Many enterprises attempt to develop their business by utilizing the power of on-line social networking platforms. A considerable amount of work has focused on how to select a set of influential users to maximize a kind of positive influence in static social networks. However, networks evolve, and the topological structure changes over time. Meanwhile, multiple influences may exist in the on-line social network at the same time. How to mine and adapt the influencers in a dynamic and complex environment becomes a challenging issue. In this talk, I am going to introduce some recent research findings of my group in comprehensive influence propagation modelling, and the utilisation of agent-based techniques in this problem.

 

Biography:Dr Quan Bai received his PhD (2007) and MSc (2002) from the University of Wollongong, Australia, and graduated with double bachelor’s degree (2001) from Tianjin University, China. After he received his PhD, Quan worked as a Postdoctoral Research Follow for the University of Wollongong (2007-2009), and for the Commonwealth Scientific and Industrial Research Organisation (CSIRO) (2009-2011).