赵 慷 博士（美国爱荷华大学）
Online, Offline and In-Betweens—Mining Social Network and Scholarly Data for Behavior Patterns
Social networks are ubiquitous in our daily life. Online social networks have revolutionized the way we interact with each other and with the world around us, but what happens in the offline world remains very important. This talk will focus on analyzing individuals’ behavior patterns by mining data of their activities in the cyberspace and the physical space. I will cover several of my research projects related to this topic, including user engagement in online health communities, research collaborations in multidisciplinary academic institutions, and behavior diffusion in viral events.
Dr. Kang Zhao is an Assistant Professor of Management Sciences, with a joint appointment in Information Science, at the University of Iowa. His current research focuses on data science and social computing, especially the mining, modeling, and simulation of social, business, and scholarly networks. 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.