Trust Management in Online Social Networks


报告题目: Trust Management in Online Social Networks
报告人:Guanfeng Liu
时间:6月20日(周二) 上午10:00—12:00
地点:王选所106会议室


报告摘要:Online Social Networks (OSNs) such as Facebook (facebook.com), Twitter (twitter.com) and Linkedin (linkedin.com) have already gained popularity and attracted lots of participants. In recent years, social networking sites have been used as a means for a rich variety of activities, such as movie recommendations and product recommendations. In addition, they have even been used by employers to investigate potential employees. In these activities, trust is one of the most important factors for participants’ decision-making. However, in OSNs, most participants are unknown with each other. Therefore, it is necessary and significant to evaluate the trust between two participants who have no direct interaction. At this tutorial, Dr. Guanfeng Liu will first introduce a global picture of the studies of trust management in online social networks, and then introduce complex trust-oriented social network structure, and a set of solutions in solving the trust network extraction and trust path selection problems. 


报告人简介:Dr Guanfeng Liu is a Senior Lecturer in the School of Computing, Macquarie University. His research interests include trust computing, graph data management, and big data analytics. He has published more than 100 high quality research papers in top international conferences and journals, including, ICDE, SIGIR, AAAI, IJCAI, IEEE TKDE, IEEE TSC, etc. He has received six best (student) paper awards. He has been serving the Editor-in-Chief in EAI Transaction on Cloud Computing, Associate Editors in Frontier of Big Data, Human-centric Computing and Information Sciences (HCIS), and Electronics. He has been served as guest editors and invited reviewers in many top international journals and served as the technical program committee members in top tier international conferences in the areas of database, data mining, and AI, e.g., PVLDB, KDD, WWW, ICDE, WSDM, ICDM, AAAI, IJCAI, etc.

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