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Social Media Visual Analytics

Xiaoru Yuan, Peking University

Abstract

Understanding activities in social media are difficult due to the vast amount of data required for processing and the complex nature of social media data. Visualization provides essential accesses for users to comprehend such big data and gain insights, which is crucial for understanding the user behavior in the cyber space. This talk will discuss visualization cases covering various aspects of social media data, including the movement of users, the evolution of events on social media.

Bio

Xiaoru Yuan is a tenured faculty member in the School of Electronics Engineering and Computer Science. He services as the vice director of Information Science Center, at Peking University. He received Bachelor degrees in chemistry and law from Peking University, China, in 1997 and 1998, respectively. He received the Ph.D. degree in computer science in 2006, from the University of Minnesota at Twin Cities. His primary research interests are in the field of visualization and visual analytics. He has co-authored over 70 technical papers in IEEE VIS/TVCG/PacificVis, EuroVis and other major international visualization conference and journals. His co-authored work on high dynamic range volume visualization received Best Application Paper Award at the IEEE Visualization 2005 conference. He led his student team won six awards in IEEE VAST Challenges. He served on the program committees of IEEE VIS and many other international conferences. He was organization co-chair of IEEE PacificVis 2009, program chair of VINCI 2010, paper chair of IEEE VIS 2017, IEEE PacificVis 2016, poster co-chair of IEEE VIS 2015 and 2016. He co-founded the ChinaVis conference since 2014 and served as the conference Chair on 2015. He also served on the editorial board of CCF journal of CAD&CG and Springer Journal of Visualization, and as guest editor of IEEE TVCG and IEEE CG&A.