Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100396
Title: Visual analysis of topic competition on social media
Authors: Peng, Tai-Quan
Xu, Panpan
Wu, Yingcai
Wei, Enxun
Qu, Huamin
Liu, Shixia
Zhu, Jonathan J. H.
Keywords: DRNTU::Social sciences::Communication::Communication theories and models
DRNTU::Library and information science::Libraries::Information systems
DRNTU::Social sciences::Communication::Promotional communication::Communication campaigns
DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences
Issue Date: 2013
Source: Xu, P., Wu, Y., Wei, E., Peng, T.-Q., Liu, S., Zhu, J. J. H., & Qu, H. (2013). Visual Analysis of Topic Competition on Social Media. IEEE Transactions on Visualization and Computer Graphics, 19 (12), 2012-2021.
Series/Report no.: IEEE transactions on visualization and computer graphics
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.
URI: https://hdl.handle.net/10356/100396
http://hdl.handle.net/10220/17882
ISSN: 1077-2626
DOI: 10.1109/TVCG.2013.221
Rights: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TVCG.2013.221].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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