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| S2IR Rumor Dissemination Model Based on Structural Characteristics of Social Networks |
| QU Qianqian, HAN Hua, L Yanan, JIA Chengfeng, MA Yuanyuan
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| Department of Science,Wuhan University of Technology, Wuhan 430070, China |
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Abstract In view of the difference of users′ resistance to rumors and the different intimacy between users in social networks, the dissemination rate of inconsistent contact reflecting network structure characteristics is defined by introducing a rumor reliability function and an individual intimacy function. Considering the different degree and intensity of rumors, a new dynamic model of network rumor propagation is established based on the mean field theory. The correctness of theoretical analysis is verified by numerical simulation in BA scale-free networks. The results show that rumors spread faster and wider in nodes with large degree; high rumor reliability and user intimacy will make rumors spread faster and wider; and further explore the impact of forgetting rate, rumor denial rate and other related parameters on rumor propagation in the model. Based on the sensitivity analysis of the basic reproduction number, some suggestions are put forward to control the spread of rumors, and the effects of two common immunization strategies, random immunization and target immunization, are compared and analyzed. The influence of network structure on rumor propagation is analyzed in simulation network and real network.
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Received: 28 April 2019
Published: 24 October 2019
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