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Epidemic spreading on weighted adaptive networks

机译:加权自适应网络上的流行病传播

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摘要

Considering the fact that the contact strengths among people are diverse both in the duration time and the distance, in this paper, we study the epidemic dynamics with susceptible-infective-susceptible (SIS) model on a weighted adaptive network to emphasize this contact feature. In this model, the weight of a link denotes the contact strength between two individuals connected by this link, and each susceptible individual may adaptively transfer the weight from a link to another. We find that this weight adaption process could significantly aggravate the prevalence of an epidemic. Moreover, we examine the effectiveness of the link-removal strategy with our model, and the results show that the weight adaption process may weaken the efficiency of the strategy. The theoretical analysis is supported by the simulation results.
机译:考虑到人与人之间的接触强度在持续时间和距离上都是不同的,因此,我们在加权自适应网络上使用易感性-传染性-易感性(SIS)模型研究流行病动力学,以强调这种接触性。在此模型中,链接的权重表示通过此链接连接的两个个体之间的接触强度,每个易受攻击的个体可以自适应地将权重从链接转移到另一个。我们发现,这种体重适应过程可能会大大加重流行病的流行。此外,我们通过模型检验了链接删除策略的有效性,结果表明权重自适应过程可能会削弱该策略的效率。仿真结果支持理论分析。

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