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Modeling the cooperative and competitive contagions in online social networks

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  • Zhuang, Yun-Bei
  • Chen, J.J.
  • Li, Zhi-hong

Abstract

The wide adoption of social media has increased the interaction among different pieces of information, and this interaction includes cooperation and competition for our finite attention. While previous research focus on fully competition, this paper extends the interaction to be both “cooperation” and “competition”, by employing an IS1S2R model. To explore how two different pieces of information interact with each other, the IS1S2R model splits the agents into four parts-(Ignorant-Spreader I-Spreader II-Stifler), based on SIR epidemic spreading model. Using real data from Weibo.com, a social network site similar to Twitter, we find some parameters, like decaying rates, can both influence the cooperative diffusion process and the competitive process, while other parameters, like infectious rates only have influence on the competitive diffusion process. Besides, the parameters’ effect are more significant in the competitive diffusion than in the cooperative diffusion.

Suggested Citation

  • Zhuang, Yun-Bei & Chen, J.J. & Li, Zhi-hong, 2017. "Modeling the cooperative and competitive contagions in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 141-151.
    • Handle: RePEc:eee:phsmap:v:484:y:2017:i:c:p:141-151
    DOI: 10.1016/j.physa.2017.04.129
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    References listed on IDEAS

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    Cited by:

    1. Wenjia Liu & Jian Wang & Yanfeng Ouyang, 2022. "Rumor Transmission in Online Social Networks Under Nash Equilibrium of a Psychological Decision Game," Networks and Spatial Economics, Springer, vol. 22(4), pages 831-854, December.
    2. Hadzibeganovic, Tarik & Stauffer, Dietrich & Han, Xiao-Pu, 2018. "Interplay between cooperation-enhancing mechanisms in evolutionary games with tag-mediated interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 676-690.
    3. Fu, Guiyuan & Chen, Feier & Liu, Jianguo & Han, Jingti, 2019. "Analysis of competitive information diffusion in a group-based population over social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 409-419.

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