[Lecture] Semantic Social Network Analysis
 
time: 2017-04-06

Title: Semantic Social Network Analysis 

Speaker: Dr. Qingpeng Zhang, City University of Hong Kong

Time: 3:00 pm, April 7, 2017

Venue: Room 302, Building #12, Wushan Campus



Abstract:

Conventional bi-dimensional matrix-based social network analysis approaches ignore the inherent multiaspect relationships of people and other attributes (like semantics). In this research, we proposed to use a tensor-based machine learning framework to integrate such multiplex relationships for a variety of problems including link prediction, disease diagnosis and risk assessment. The speaker will first introduce a model for retweet prediction problem through linking twitter data to semantic web and factorizing tensors across domains with semantics embedded. Then, the speaker will describe a series of applications his group has been working on.   


About the Speaker:

Qingpeng Zhang is an Assistant Professor in the Department of Systems Engineering and Engineering Management of City University of Hong Kong. He received the B.S. degree in Automation from Huazhong University of Science and Technology, and the M.S. degree in Industrial Engineering and the Ph.D. degree in Systems and Industrial Engineering from The University of Arizona, respectively. Prior to joining CityU, he worked as a Postdoctoral Research Associate with The Tetherless World Constellation in Department of Computer Science at Rensselaer Polytechnic Institute. He also worked at Pacific Northwest National Lab and Chinese Academy of Sciences in the summer of 2011 and 2010, respectively. His research interests include social informatics and social computing, complex networks, healthcare data analytics, semantic web, and web science.