報告題目: 在線社交網絡中的綜合影響傳播模型
報告人：Quan Bai 博士
Presenter： Dr. Quan Bai
時 間：2018年12月04日上午10：30
Time： Tuesday 10:30 am on December 4th.
地 點：計算機學院112會議室
Place: Room 112 of Computer Building
主 持人：孔燕
Host: Teacher KONG Yan
報告人簡介:
Quan Bai 博士現任教於紐西蘭奧克蘭科技大學工程，計算機與數學科學學院，他分別於2002年和2007年在澳大利亞臥龍崗大學取得碩士和博士學位。博士畢業後，他曾在臥龍崗大學從事博士後研究工作數年，而後就職於澳大利亞科技和產業研究部。Quan Bai 博士的主要研究領域是multi-agent coordination, trust analysis, mining and agent-abased modelling for complex systems. 他從事研究工作數年以來，一共發表學術論文百餘篇，其中包含IEEE Trans 系列期刊論文，相關領域其他頂級期刊和頂級學術會議論文共計數十篇，鑑於他的突出貢獻，agent領域頂級會議之一 AAMAS 組委會任命他為AAMAS 2020 的會議主席。
報告摘要：
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
本講座是計算機領域的中文講座，請感興趣的同學帶學術報告手冊到場參加互動。
This Lecture is in Chinese on computer science field, students who are interested, pls bring your academic brochure and join the lecture.