会议报告

巫英才

巫英才 微软亚洲研究院
巫英才博士是微软亚洲研究院的副研究员。他2004年本科毕业于华南理工大学计算机科学与技术系,2004年到2009年在香港科技大学攻读计算机科学博士学位,20010年5月到2012年3月在加州大学戴维斯分校从事博士后研究工作。他的主要研究方向是社会化媒体可视分析,不确定性数据可视化以及大规模用户日志可视分析等。他迄今为止已经在国际会议和期刊发表学术论文30余篇,其中包括9篇可视化领域顶级期刊(IEEE TVCG)。他2009年的一篇学术论文在可视化顶级会议上(IEEE Visualization)获得了最佳论文提名奖。 他是多个可视化国际会议的程序委员会委员(IEEE PacificVis, VINCI, VDA)。

Visual Analysis of Topic Competition on Social media
How do various topics compete for public attention when they are spreading on social media? What roles do opinion leaders play in the rise and fall of competitiveness of various topics? In my talk, I will introduce our research work on visualization of information diffusion on social media, namely, visual analysis of the dynamics of topic competition on social media. This work employs an expanded topic competition model to characterize the competition for public attention on multiple topics promoted by various opinion leaders on social media. To allow an intuitive understanding of the estimated measures, this work uses a timeline visualization through a metaphoric interpretation of the results. The visual design features both topical and social aspects of the information diffusion process by compositing ThemeRiver with storyline style visualization. ThemeRiver shows the increase and decrease of competitiveness of each topic. Opinion leaders are drawn as threads that converge or diverge with regard to their roles in influencing change in public agenda over time. To validate the effectiveness of the visual analysis techniques, I will also report the insights gained on two collections of Tweets: the 2012 United States presidential election and the Occupy Wall Street movement.