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銆怱peaker銆慘ang Zhao, Assistant Professor, The University of Iowa
銆怲opic銆慜nline and Off the Web-Mining Online Data for Offline Behaviors
銆怲ime銆慣uesday, June 12, 10:30-11:30
銆怴enue銆慠oom 453, Weilun Building, Tsinghua SEM
銆怢anguage銆慍hinese and English
銆怬rganizer銆慏epartment of Management Science and Engineering
銆怉bstract銆慣he web has revolutionized the way we interact with each other and with the world around us. Despite the increasing value of the cyberspace, what happens in the offline physical world is still very important. This talk will focus on studying individuals鈥 offline behaviors by mining their activities on the web. I will cover several of my studies related to this topic, including link predictions in online social networks, user behaviors in online health communities, and behavior diffusions in viral events.
銆怋io銆慏r. Kang Zhao is an Assistant Professor of Management Sciences at the Tippie College of Business, The University of Iowa. He also has a joint appointment in Informatics. His current research focuses on business analytics, data science, and social computing, especially the mining, modeling, and simulation of social/business networks and social media. He has published more than 20 journal papers, and his research has been featured in public media from more than 25 countries, such as Washington Post, USA Today, Forbes, New York Public Radio, BBC, and Agence France-Presse. He also served as the Chair for INFORMS Artificial Intelligence Section 2014-2016.
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