Title :
Visual Analysis of Topic Competition on Social Media
Author :
Panpan Xu ; Yingcai Wu ; Enxun Wei ; Tai-Quan Peng ; Shixia Liu ; Zhu, Jonathan J. H. ; Huamin Qu
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
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.
Keywords :
data visualisation; social networking (online); 2012 United States presidential election; Occupy Wall Street movement; ThemeRiver; Tweets; information diffusion process; metaphoric interpretation; opinion leaders; public agenda; public attention competition; social aspects; social media; storyline style visualization; timeline visualization; topic competition model; topic competitiveness; topical aspects; visual analysis techniques; visual design; Data visualization; Mathematical model; Recruitment; Social network services; Visual analytics; Data visualization; Mathematical model; Recruitment; Social media visuaization; Social network services; Visual analytics; agenda-setting; information diffusion; information propagation; topic competition; Algorithms; Computer Graphics; Data Mining; Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Social Media; User-Computer Interface;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2013.221