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Epidemic spreading with immunization rate on complex networks

机译:复杂网络上免疫率的流行病传播

摘要

We investigate the spread of diseases, computer viruses or information oncomplex networks and also immunization strategies to prevent or control thespread. When an entire population cannot be immunized and the effect ofimmunization is not perfect, we need the targeted immunization withimmunization rate. Under such a circumstance we calculate epidemic thresholdsfor the SIR and SIS epidemic models. It is shown that, in scale-free networks,the targeted immunization is effective only if the immunization rate is equalto one. We analyze here epidemic spreading on directed complex networks, butsimilar results are also valid for undirected ones.
机译:我们调查疾病,计算机病毒或复杂网络上信息的传播,以及预防或控制传播的免疫策略。当无法对整个人群进行免疫并且免疫效果不理想时,我们需要有针对性的免疫率。在这种情况下,我们计算SIR和SIS流行病模型的流行阈值。结果表明,在无标度网络中,只有当免疫率等于1时,靶向免疫才有效。我们在这里分析有向复杂网络上的流行病传播,但是类似的结果对于无向网络也有效。

著录项

  • 作者

    Tanimoto, Shinji;

  • 作者单位
  • 年度 2011
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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