接种策略下网络对传播攻击的鲁棒性
Robustness of networks against propagating attacks under vaccination strategies
摘要：
本文研究了接种疫苗对网络抗传播攻击的鲁棒性的影响，通过扩展Newman（2005）的生成函数形式，解析地确定了依赖于接种疫苗参数的网络鲁棒性。我们考虑了节点随机接种疫苗的随机防御和枢纽优先接种疫苗的基于度的防御。我们表明，当疫苗是无效的，随机图是更强大的传播攻击比无标度网络。当疫苗相对有效时，基于度防御的无标度网络比基于随机防御的随机图和基于随机防御的无标度网络更鲁棒。
英文摘要：
We study the effect of vaccination on robustness of networks against propagating attacks that obey the susceptible-infected-removed model.By extending the generating function formalism developed by Newman (2005), we analytically determine the robustness of networks that depends on the vaccination parameters. We consider the random defense where nodes are vaccinated randomly and the degree-based defense where hubs are preferentially vaccinated. We show that when vaccines are inefficient, the random graph is more robust against propagating attacks than the scale-free network. When vaccines are relatively efficient, the scale-free network with the degree-based defense is more robust than the random graph with the random defense and the scale-free network with the random defense.
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