Literature DB >> 26356889

EvoRiver: Visual Analysis of Topic Coopetition on Social Media.

Guodao Sun, Yingcai Wu, Shixia Liu, Tai-Quan Peng, Jonathan J H Zhu, Ronghua Liang.   

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).

Mesh:

Year:  2014        PMID: 26356889     DOI: 10.1109/TVCG.2014.2346919

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  2 in total

1.  Competing opinion diffusion on social networks.

Authors:  Haibo Hu
Journal:  R Soc Open Sci       Date:  2017-11-01       Impact factor: 2.963

2.  Interplay between Public Attention and Public Emotion toward Multiple Social Issues on Twitter.

Authors:  Tai-Quan Peng; Guodao Sun; Yingcai Wu
Journal:  PLoS One       Date:  2017-01-12       Impact factor: 3.240

  2 in total

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