报告时间：2015年11月20日星期四下午14:00
报告地点：浙江大学紫金港校区蒙民伟楼CAD&CG国家重点实验室402室
报告会主题：Opportunities and Challenges in Computational Communication Research:Design, Measurement, Analysis, and Presentation
主持人：巫英才 研究员
Abstract: Computational approach has recently emerged to be a new paradigm of research (“computational social science”) across social sciences in general and communication in particular. On one side, communication researchers are fascinated by infinite opportunities embedded in large-scale digital footprints and sophisticated computational approach. On the other side, communication researchers face daunting challenges and great confusion when utilizing digital footprints and computational approach to understand human communication phenomena. Based on my recent research projects on web search queries, Twitter, and mobile call data, I will discuss opportunities and challenges at different stages of empirical research, including deductive and inductive design, measurement validity and reliability, analytical strategies in handling temporal and spatial data, and visual presentation of theoretical findings.
Bio: Tai-Quan Peng (PhD, City University of Hong Kong) is currently an Assistant Professor at the Wee Kim Wee School of Communication and Information of Nanyang Technological University, Singapore. His recent research interest focuses on tie-generative mechanisms in communication and information networks, public sentiment on social media, and the diffusion of viral messages on social media. His research has been supported by Academic Research Fund of Singapore, Microsoft, National Research Foundation of Singapore, General Research Fund of Hong Kong, and National Social Science Foundation of China. His work has appeared in leading journals in communication science, information science, and computer science, including Communication Research, New Media & Society, Journal of Informetrics, Journal of the American Society for Information Science and Technology, Scientometrics, and IEEE Transactions on Visualization and Computer Graphics.
