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Epidemic spreading model of complex dynamical network with the heterogeneity of nodes

机译:具有节点异质性的复杂动力网络的流行扩散模型

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In this paper, we model epidemic spreading by considering the mobility of nodes in complex dynamical network based on mean field theory using differential equations. Moreover, a resistance factor which can characterise the impact of individual's difference on the propagation dynamics in complex dynamical network is proposed by considering the influence of total number of connections and the continuous time to remain in contact. The effect of heterogeneity on the evolution process of propagation dynamics is explored by simulation. Extensive simulations are conducted to study the key influence parameters and the influence of them on the spreading dynamics, which are helpful to the understanding of epidemic spreading mechanism and the designing of effective control strategies.
机译:在本文中,我们基于基于微分方程的均值场理论,通过考虑复杂动态网络中节点的移动性来对流行扩散进行建模。此外,通过考虑连接总数和持续保持接触时间的影响,提出了一种可以表征个体差异对复杂动力网络中传播动力学影响的阻力因子。通过仿真研究了异质性对传播动力学演化过程的影响。进行了广泛的模拟研究,研究了关键影响参数及其对传播动力学的影响,有助于了解流行病传播机理和有效控制策略的设计。

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