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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Imperfect targeted immunization in scale-free networks
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Imperfect targeted immunization in scale-free networks

机译:无标度网络中的目标免疫接种不完善

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Scale-free networks are prone to epidemic spreading. To provide cost-effective protection for Such networks, targeted immunization was proposed to selectively immunize the hub nodes. In many real-life applications, however, the targeted immunization may not be perfect, either because smile hub nodes are hidden and consequently not immunized, or because the vaccination simply cannot provide perfect protection. We investigate the effects of imperfect targeted immunization in scale-free networks. Analysis and simulation results show that there exists a linear relationship between the inverse of the epidemic threshold and the effectiveness of targeted immunization. Therefore, the probability of epidemic outbreak cannot be significantly lowered unless the protection is reasonably strong. On the other hand, even a relatively weak protection over the hub nodes significantly decreases the number of network nodes ever getting infected and therefore enhances network robustness against virus. We show that the above Conclusions remain valid where there exists a negative correlation between nodal degree and infectiousness.
机译:无标度的网络易于流行。为了为此类网络提供经济有效的保护,提出了针对性免疫以选择性免疫中枢节点。但是,在许多实际应用中,目标免疫接种可能并不理想,这是因为微笑的枢纽节点被隐藏并因此未进行免疫接种,或者因为疫苗接种无法完全提供保护。我们调查了无标度网络中不完全针对性免疫的影响。分析和模拟结果表明,流行阈值的倒数与靶向免疫的有效性之间存在线性关系。因此,除非有足够的保护措施,否则无法大幅度降低流行病暴发的可能性。另一方面,即使对集线器节点的保护相对较弱,也会显着减少曾经被感染的网络节点的数量,从而增强网络抵抗病毒的鲁棒性。我们表明上述结论在节点度和传染性之间存在负相关的地方仍然有效。

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