DocumentCode
22158
Title
EvoRiver: Visual Analysis of Topic Coopetition on Social Media
Author
Guodao Sun ; Yingcai Wu ; Shixia Liu ; Tai-Quan Peng ; Zhu, Jonathan J. H. ; Ronghua Liang
Volume
20
Issue
12
fYear
2014
fDate
Dec. 31 2014
Firstpage
1753
Lastpage
1762
Abstract
Cooperation and competition (jointly called “coopetition”) are two modes of interactions among a set of concurrent topics on social media. How do topics cooperate or compete with each other to gain public attention? Which topics tend to cooperate or compete with one another? Who plays the key role in coopetition-related interactions? We answer these intricate questions by proposing a visual analytics system that facilitates the in-depth analysis of topic coopetition on social media. We model the complex interactions among topics as a combination of carry-over, coopetition recruitment, and coopetition distraction effects. This model provides a close functional approximation of the coopetition process by depicting how different groups of influential users (i.e., “topic leaders”) affect coopetition. We also design EvoRiver, a time-based visualization, that allows users to explore coopetition-related interactions and to detect dynamically evolving patterns, as well as their major causes. We test our model and demonstrate the usefulness of our system based on two Twitter data sets (social topics data and business topics data).
Keywords
Internet; social networking (online); EvoRiver; Twitter data sets; close functional approximation; coopetition distraction effects; coopetition recruitment; indepth analysis; public attention; social media; topic coopetition; visual analytics system; Cooperation; Data visualization; Media; Social network services; Visual analytics; Topic coopetition; information diffusion; information propagation; time-based visualization;
fLanguage
English
Journal_Title
Visualization and Computer Graphics, IEEE Transactions on
Publisher
ieee
ISSN
1077-2626
Type
jour
DOI
10.1109/TVCG.2014.2346919
Filename
6875992
Link To Document