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Spreading dynamics of SVFR online fraud information model on heterogeneous networks

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  • Hou, Jingrui
  • Chi, Ming
  • Li, Tao
  • Guan, Zhi-Hong
  • Luo, Kai
  • Zhang, Ding-Xue

Abstract

In recent years, with the development of Internet technology, online fraud has become rampant. Therefore, it is necessary to study its spreading and evolution mechanism. In this paper, we propose a novel susceptible individuals–victims–fraudsters–resisters (SVFR) online fraud information spreading model based on scale-free networks. Using the mean-field theory, we derive the basic reproduction number R0 and prove that when R0<1, the online fraud will disappear eventually, and when R0>1, the online fraud will persist. The stability analysis of our model is also given in detail. Numerical simulations are presented to verify and extend theoretical results. Furthermore, we give four control strategies of online fraud and compare the feasibility and effect of them through some simulations. Finally, we carry on a questionnaire survey to make a further practical exploration.

Suggested Citation

  • Hou, Jingrui & Chi, Ming & Li, Tao & Guan, Zhi-Hong & Luo, Kai & Zhang, Ding-Xue, 2019. "Spreading dynamics of SVFR online fraud information model on heterogeneous networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    • Handle: RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119311628
    DOI: 10.1016/j.physa.2019.122026
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    References listed on IDEAS

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    1. Xu, Hao & Li, Tao & Liu, Xiongding & Liu, Wenjin & Dong, Jing, 2019. "Spreading dynamics of an online social rumor model with psychological factors on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 234-246.
    2. Liu, Qiming & Li, Tao & Sun, Meici, 2017. "The analysis of an SEIR rumor propagation model on heterogeneous network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 372-380.
    3. Wan, Chen & Li, Tao & Guan, Zhi-Hong & Wang, Yuanmei & Liu, Xiongding, 2017. "Spreading dynamics of an e-commerce preferential information model on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 192-200.
    4. Liu, Xiongding & Li, Tao & Xu, Hao & Liu, Wenjin, 2019. "Spreading dynamics of an online social information model on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 497-510.
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    Cited by:

    1. Cuixia Jiang & Jun Zhu & Qifa Xu, 2022. "Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression," Electronic Commerce Research, Springer, vol. 22(1), pages 157-176, March.
    2. Dong, Xuefan & Lian, Ying, 2021. "A review of social media-based public opinion analyses: Challenges and recommendations," Technology in Society, Elsevier, vol. 67(C).

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