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Dynamics of a rumor-spreading model with diversity of configurations in scale-free networks

机译:无标度网络中具有多种配置的谣言传播模型的动力学

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In this paper, we propose a new rumor-spreading model, which is a variant of the susceptible-exposed-infectious-removed epidemic model. We consider the influences of the diversity of configurations as a defense strategy to diminish the damage brought by rumor diffusion. The diversity of configuration can be found in different instant messengers or social networks. Moreover, we apply two kinds of the rumor immunization strategies such as random immunization and targeted immunization and show that targeted immunization is better than random immunization for rumor-spreading control in scale-free networks. We carry out the systematic analysis of the model and study the local and global stability of rumor-free equilibrium. In the proposed model, we introduce two new states, namely, hibernator and stifler2, to study dynamical behaviors of the model. The proposed model combines both targeted immunization and diversity of configuration to prevent rumor spreading. By numerical simulations, we indicate that our model is appreciably better than other models in terms of declining the rumor diffusion speed. Furthermore, we investigate many related dynamic properties to make the result more complete. Simulation results show the effect of different parameters on the rumor diffusion in scale-free networks; meanwhile, numerical simulations confirm the theoretical solution. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:在本文中,我们提出了一种新的谣言传播模型,它是易感性传染病去除流行模型的一种变体。我们认为配置多样性的影响是一种防御策略,可以减少谣言传播带来的损害。可以在不同的即时通讯程序或社交网络中找到配置的多样性。此外,我们采用了两种谣言免疫策略,如随机免疫和针对性免疫,结果表明,针对无标度网络中的谣言传播控制,针对性免疫优于随机免疫。我们对该模型进行了系统分析,并研究了无谣言均衡的局部和全局稳定性。在提出的模型中,我们引入了两个新的状态,即休眠器和stifler2,以研究模型的动力学行为。提出的模型结合了目标免疫和构型多样性,以防止谣言传播。通过数值模拟,我们表明我们的模型在降低谣言传播速度方面明显优于其他模型。此外,我们研究了许多相关的动态特性,以使结果更完整。仿真结果表明,不同参数对无标度网络中谣言扩散的影响。同时,数值模拟证实了理论解。版权所有(c)2015 John Wiley&Sons,Ltd.

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