讲座：Structure Based User Identification across Social Networks
题 目：Structure Based User Identification across Social Networks
演讲人： Xiaoping Zhou，Associate Professor Beijing University of Civil Engineering & Architecture (BUCEA)
主持人： 瞿 茜 副教授 上海交通大学安泰经济与管理学院经济系
时 间： 2017年 12 月6 日（周 三 ）15:30-17:00
地 点： 上海交通大学 徐汇校区新上院S202室
Identification of anonymous identical users of cross-platforms refers to the recognition of the accounts belonging to the same individual among multiple Social Network (SN) platforms. Evidently, cross-platform exploration may help solve many problems in social computing, in both theory and practice. However, it is still an intractable problem due to the fragmentation, inconsistency and disruption of the accessible information among SNs. Different from the efforts implemented on user profiles and users’ content, we focused on the network structure and proposed a semi-supervised and an unsupervised algorithms to identify the identical users from different SNs.
Dr. Xiaoping Zhou is an Associate Professor at BUCEA. His research interests include Big Data, Social Computing, and Building Information Model/Modelling (BIM). His papers have been published in IEEE Transactions on Knowledge & Data Engineering and IEEE Transactions on Neural Networks & Learning Systems.