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Delay differential equations modeling of rumor propagation in both homogeneous and heterogeneous networks with a forced silence function

机译:具有强制沉默函数的均匀和异构网络中谣言传播的延迟微分方程建模

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The emergence of rumors is subjective and aggressive which will bring disturbance and misleading to people's lives. This paper is dedicated to comprehensively investigating the influence of forced silence function, time delay and network topology on rumor propagation in online social networks. Considering the network supervision such as forced silence and network topology, a novel delayed SIR(susceptible-propagating-recovery) epidemic-like rumor propagation model in both homogeneous and heterogeneous networks is proposed. By using the mean-field theory, we analyze the propagation dynamics of the model in detail. Firstly, we demonstrate the boundedness of the solutions, then we obtain the basic reproduction number and the existence of the rumor-prevailing equilibrium points. Secondly, the forward and backward bifurcation as well as the local and global stabilities of the equilibrium points in both homogeneous and heterogeneous networks are theoretically analyzed and revealed. Finally, the possible impact is analyzed through numerical simulations, and the factors affecting rumor propagation are theoretically analyzed, which prove the validity of the theoretical analysis. (C) 2019 Elsevier Inc. All rights reserved.
机译:谣言的出现是主观和侵略性,将为人们的生活带来干扰和误导性。本文致力于全面调查强制沉默函数,时间延迟和网络拓扑对在线社交网络中谣言传播的影响。考虑到诸如强制沉默和网络拓扑等网络监督,提出了一种在均匀和异构网络中的一种新的延迟SIR(易感传播 - 恢复)相似的谣言传播模型。通过使用平均场理论,我们详细分析了模型的传播动态。首先,我们展示了解决方案的有界性,然后我们获得了基本的再现数和谣言的存在性均衡点。其次,理论上和揭示了前向和向后分叉以及均匀网络中平衡点的局部和全局稳定性。最后,通过数值模拟分析可能的影响,理论上分析了影响谣言传播的因素,证明了理论分析的有效性。 (c)2019 Elsevier Inc.保留所有权利。

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