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Modeling and simulation of information dissemination model considering user’s awareness behavior in mobile social networks

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  • Sang, Chun-Yan
  • Liao, Shi-Gen

Abstract

With the rapid development of mobile sensing devices and Internet technology, any user can publish, comment, or forward information through social platforms. Meanwhile, while speeding up the speed and scope of information dissemination, it is difficult to distinguish the authenticity and reliability of the information. Users’ ability to discriminate information depends on their conscious behavior and knowledge level. According to the level of user awareness, the population can be split into five different states when information is generated. In order to know the evolution trend of information over time, a novel information dissemination model in mobile social networks based on the traditional SIR model is proposed in this work, which can be called SEIRD. From the theoretical point of view, the basic reproduction number R0 and equilibrium of the proposed model are given. We also analyze the local and global stability of the rumor-free equilibrium. Furthermore, to verify the effectiveness of the proposed model, a series of numerical simulations experiments and results analysis are given. Moreover, the impacts of different parameters of the proposed model are carried out.

Suggested Citation

  • Sang, Chun-Yan & Liao, Shi-Gen, 2020. "Modeling and simulation of information dissemination model considering user’s awareness behavior in mobile social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    • Handle: RePEc:eee:phsmap:v:537:y:2020:i:c:s0378437119315080
    DOI: 10.1016/j.physa.2019.122639
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    1. Zhang, Yaming & Su, Yanyuan & Weigang, Li & Liu, Haiou, 2018. "Rumor and authoritative information propagation model considering super spreading in complex social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 395-411.
    2. Liu, Wanping & Zhong, Shouming, 2018. "A novel dynamic model for web malware spreading over scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 848-863.
    3. Liu, Wanping & Wu, Xiao & Yang, Wu & Zhu, Xiaofei & Zhong, Shouming, 2019. "Modeling cyber rumor spreading over mobile social networks: A compartment approach," Applied Mathematics and Computation, Elsevier, vol. 343(C), pages 214-229.
    4. Wang, Zhishuang & Guo, Quantong & Sun, Shiwen & Xia, Chengyi, 2019. "The impact of awareness diffusion on SIR-like epidemics in multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 349(C), pages 134-147.
    5. Sachak-Patwa, Rahil & Fadai, Nabil T. & Van Gorder, Robert A., 2018. "Understanding viral video dynamics through an epidemic modelling approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 416-435.
    6. Kabir, K.M. Ariful & Kuga, Kazuki & Tanimoto, Jun, 2019. "Analysis of SIR epidemic model with information spreading of awareness," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 118-125.
    7. Khan, Muhammad Altaf & Khan, Yasir & Islam, Saeed, 2018. "Complex dynamics of an SEIR epidemic model with saturated incidence rate and treatment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 210-227.
    8. Kabir, K.M. Ariful & Kuga, Kazuki & Tanimoto, Jun, 2019. "Effect of information spreading to suppress the disease contagion on the epidemic vaccination game," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 180-187.
    9. Zhu, He & Ma, Jing, 2018. "Knowledge diffusion in complex networks by considering time-varying information channels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 225-235.
    10. Yang, Dong & Chow, Tommy W.S. & Zhong, Lu & Tian, Zhaoyang & Zhang, Qingpeng & Chen, Guanrong, 2018. "True and fake information spreading over the Facebook," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 984-994.
    11. Sahafizadeh, Ebrahim & Tork Ladani, Behrouz, 2018. "The impact of group propagation on rumor spreading in mobile social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 412-423.
    12. Hosseini, Soodeh & Azgomi, Mohammad Abdollahi, 2018. "The dynamics of an SEIRS-QV malware propagation model in heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 803-817.
    13. Zhu, Shu-Shan & Zhu, Xu-Zhen & Wang, Jian-Qun & Zhang, Zeng-Ping & Wang, Wei, 2019. "Social contagions on multiplex networks with heterogeneous population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 105-113.
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