Title: Big Network Visualization (大数据网络可视化)
Time: 15:20-17:00, 13th, May
Place: 1-312, FIT Building
Organizer: Research Institute of Information Technology (RIIT), Tsinghua University
Lei Shi is an associate research professor in the State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences. Before that, he was a research staff member and research manager at IBM Research - China. He holds B.S. (2003), M.S. (2006) and Ph.D. (2008) degrees from Department of Computer Science and Technology, Tsinghua University. His research interests span Information Visualization, Visual Analytics, Data Mining and Networked Systems, with more than 50 papers published in interdisciplinary venues, such as IEEE TVCG, TC, VIS, ICDM, Infocom, ACM Sigcomm and CSCW. He is the recipient of IBM Research Accomplishment Award on "Visual Analytics" and the IEEE VAST Challenge Award twice in 2010 and 2012. He now serves as the assistant to lab directors in the State Key Laboratory of Computer Science.
Networks are universal on the internet, cyberspace and even daily lives (social networks, financial networks, sensor networks, brain networks, etc). Elegant visualizations play a key role to advance our understanding of these networks. In this lecture, I will introduce the four challenges in visually presenting big networks stemmed from their unique natures, namely, large, multivariate, dynamic, and sparse, coinciding with the four V's of big data. We classify state-of-the-art big network visualization techniques into four approaches: network layout, data transformation, graph mining and network interaction. Each approach is explained in at least one application domain and showcase with live/video demonstrations to illustrate its effectiveness.