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An information spreading model based on online social networks

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  • Wang, Tao
  • He, Juanjuan
  • Wang, Xiaoxia

Abstract

Online social platforms are very popular in recent years. In addition to spreading information, users could review or collect information on online social platforms. According to the information spreading rules of online social network, a new information spreading model, namely IRCSS model, is proposed in this paper. It includes sharing mechanism, reviewing mechanism, collecting mechanism and stifling mechanism. Mean-field equations are derived to describe the dynamics of the IRCSS model. Moreover, the steady states of reviewers, collectors and stiflers and the effects of parameters on the peak values of reviewers, collectors and sharers are analyzed. Finally, numerical simulations are performed on different networks. Results show that collecting mechanism and reviewing mechanism, as well as the connectivity of the network, make information travel wider and faster, and compared to WS network and ER network, the speed of reviewing, sharing and collecting information is fastest on BA network.

Suggested Citation

  • Wang, Tao & He, Juanjuan & Wang, Xiaoxia, 2018. "An information spreading model based on online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 488-496.
    • Handle: RePEc:eee:phsmap:v:490:y:2018:i:c:p:488-496
    DOI: 10.1016/j.physa.2017.08.078
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    References listed on IDEAS

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    Cited by:

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    5. Graef, John R. & Kong, Lingju & Ledoan, Andrew & Wang, Min, 2020. "Stability analysis of a fractional online social network model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 178(C), pages 625-645.
    6. Hu, Sen & Hu, Bin & Cao, Ya, 2018. "The wider, the better? The interaction between the IoT diffusion and online retailers’ decisions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 196-209.

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