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Impact of individual interest shift on information dissemination in modular networks

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  • Zhao, Narisa
  • Cui, Xuelian

Abstract

Social networks exhibit strong community structure. Many researches have been done to explore the impacts of community structure on information diffusion but few combined with human behaviors together. In this paper, we focus on how the individual interests’ changing behavior impacts the dynamics of information propagation. Firstly, we propose an information dissemination model considering both the community structure and individual interest shift where social reinforcement and time decaying are taken into account. The accuracy of the model is evaluated by comparing the simulation and theoretical results. Further, the numerical results illustrate that both the community structure and the interests changing behavior have effects on the outbreak size of the information dissemination. Specially, lower modularity and higher community connection density will accelerate the speed of information propagation especially when the information maximal lifetime is shorter. In addition, the changes of individual interests in the message have a great impact on the final density of the received through increasing or decreasing the number of satisfied individuals directly. What is more, our findings suggest that when the modularity of the network is higher and the community clustering coefficient is lower individual interest shift behavior will have a heavier effect on the spread scope.

Suggested Citation

  • Zhao, Narisa & Cui, Xuelian, 2017. "Impact of individual interest shift on information dissemination in modular networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 232-242.
    • Handle: RePEc:eee:phsmap:v:466:y:2017:i:c:p:232-242
    DOI: 10.1016/j.physa.2016.09.019
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    References listed on IDEAS

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    Cited by:

    1. Hui Li & Narisa Zhao, 2019. "Better Earlier than Longer: First-Mover Advantage in Social Commerce Product Information Competition," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    2. Zhao, Narisa & Cheng, Xiaokang & Guo, Xianda, 2018. "Impact of information spread and investment behavior on the diffusion of internet investment products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 427-436.
    3. Zhu, Hui & Wu, Heng & Cao, Jin & Fu, Gang & Li, Hui, 2018. "Information dissemination model for social media with constant updates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 469-482.
    4. Narisa Zhao & Hui Li, 2020. "How can social commerce be boosted? The impact of consumer behaviors on the information dissemination mechanism in a social commerce network," Electronic Commerce Research, Springer, vol. 20(4), pages 833-856, December.

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