Issue No. 12 - Dec. (2013 vol. 19)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.221
Panpan Xu , Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Yingcai Wu , Microsoft Res. Asia, Beijing, China
Enxun Wei , Shanghai Jiao Tong Univ., Shanghai, China
Tai-Quan Peng , Nanyang Technol. Univ., Singapore, Singapore
Shixia Liu , Microsoft Res. Asia, Beijing, China
Jonathan J. H. Zhu , City Univ. of Hong Kong, Hong Kong, China
Huamin Qu , Hong Kong Univ. of Sci. & Technol., Hong Kong, China
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 this study, we propose 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, we present 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 the public agenda change over time. To validate the effectiveness of the visual analysis techniques, we report the insights gained on two collections of Tweets: the 2012 United States presidential election and the Occupy Wall Street movement.
Visual analytics, Data visualization, Mathematical model, Recruitment, Social network services
Panpan Xu et al., "Visual Analysis of Topic Competition on Social Media," in IEEE Transactions on Visualization & Computer Graphics, vol. 19, no. 12, pp. 2012-2021, 2013.