会议报告

时磊

时磊 中科院软件所
时磊博士现任中科院软件所计算机科学国家重点实验室副研究员。时博士2008年于清华大学计算机科学与技术系网络研究所获工学博士学位,2003年于清华大学计算机科学与技术系获本科学位。曾于IBM中国研究院任研究员、研究经理。主要研究方向为信息可视化、大数据可视分析、网络科学与系统,其中重点包括海量动态社交网络、传感器网络、通讯网络的数据处理、分析及可视化。时博士在包括IEEE Transactions on Computers, ACM SIGCOMM, ACM CSCW等国际顶级会议与期刊上发表论文40余篇。曾两次获得IBM研究院杰出贡献奖,2010、2012年度两获IEEE可视化分析大会挑战赛优胜奖。

Case Study on Big Network Visualization
The visualization of large, heterogeneous and time-varying information network is a fundamental research problem in both the big data and information visualization area. Applications have been seen widely in the online social network analysis, sensor data management, security, and telecommunications fraud detection. In this talk, I will focus on my recent research to address the "3V" (volume, velocity, variety) big data challenge on information network visualization. I will give several case studies to demonstrate the usage of network visualization as an evidence for statistical patterns and the tool for the explorative data analysis.