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Online Social Networks (OSNs) 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 these activities, trust is one of the most important factors for participants' decision-making. Therefore, it is necessary and significant to evaluate the trust between two participants who have no direct interaction. My work aims to provide effective and efficient trust evaluation methods to compute more reasonable trust evaluation results.

Biography: Guanfeng Liu is currently an Associate Professor in the School of Computer Science at Soochow University. He received his PhD degree in Computer Science from Macquarie University in 2013. His research focus is trust computing, social network, graph databases. He has published over 30 papers in the most prestigious journals and conferences such as ICDE, AAAI, ICWS, ACM Transactions and IEEE Transactions. He was the Program Committee Chair of the International Workshop on Big Data Management and Service (BDMS) in 2015.