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Model of warning information diffusion on online social networks based on population dynamics

Author

Listed:
  • Chen, Anying
  • Ni, Xiaoyong
  • Zhu, Haoran
  • Su, Guofeng

Abstract

With the development of Internet technology and mobile terminals, online social networks have played an increasingly important role in warning information diffusion. In this paper, a population dynamics model is introduced to describe the warning information diffusion process on online social networks. This model takes information attraction, network capacity, warning timeliness, and the interaction between different information into consideration. It could be used to describe and predict the diffusion process of a piece or pieces of warning information without the necessity to capture the detailed structure of social networks. A series of simulation is conducted to reveal the mechanism of the parameters influence on the diffusion process. This model is verified by real-world cases of warning micro-blogs on Sina Weibo about Super Typhoon Licma and results show that this model could well describe the diffusion process of warning information.

Suggested Citation

  • Chen, Anying & Ni, Xiaoyong & Zhu, Haoran & Su, Guofeng, 2021. "Model of warning information diffusion on online social networks based on population dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    • Handle: RePEc:eee:phsmap:v:567:y:2021:i:c:s0378437120310074
    DOI: 10.1016/j.physa.2020.125709
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    Cited by:

    1. Feng, Xinhang & Jiang, Yanli & Gai, Wenmei, 2024. "Rural community response to accidental toxic gas release: An individual emergency response model during self-organized evacuations," Reliability Engineering and System Safety, Elsevier, vol. 248(C).

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