Efficient immunization strategies for computer networks and populations
Efficient immunization strategies for computer networks and populations
复制标题
DOI：
10.1103/physrevlett.91.247901
复制
发表时间：
2003-12-12
影响因子：
8.6
通讯作者：
ben-Avraham, D
中科院分区：
文献类型：
--
作者：
Cohen, R;Havlin, S;ben-Avraham, D
我们提出了一种有效的免疫策略，适用于计算机网络和具有广泛的，特别是无标度分布的人群。所提出的熟人免疫策略要求对随机节点(个体)的随机熟人进行免疫。该策略不需要了解节点度或任何其他全局知识，靶向免疫策略也是如此。我们解析地研究了完全免疫的临界阈值。我们还研究了易感-感染-剔除流行病模型的策略。我们表明，对于所有研究的案例，使用所建议的策略可以显著降低免疫阈值。
We present an effective immunization strategy for computer networks and populations with broad and, in particular, scale-free degree distributions. The proposed strategy, acquaintance immunization, calls for the immunization of random acquaintances of random nodes (individuals). The strategy requires no knowledge of the node degrees or any other global knowledge, as do targeted immunization strategies. We study analytically the critical threshold for complete immunization. We also study the strategy with respect to the susceptible-infected-removed epidemiological model. We show that the immunization threshold is dramatically reduced with the suggested strategy, for all studied cases.