Spreading dynamics of SVFR online fraud information model on heterogeneous networks

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

Physica A: Statistical Mechanics and its Applications, 2019, vol. 534, issue C

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.

Keywords: Online fraud; Information spreading model; Scale-free networks; Threshold; Stability; Global attractivity (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119311628

DOI: 10.1016/j.physa.2019.122026

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