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添加3字节 、 2020年10月25日 (日) 17:45
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Although scale-free networks are resilient to random failures, we might imagine them being quite vulnerable to targeted hub removal. In this case we consider the robustness of scale free networks in response to targeted attacks, performed with thorough prior knowledge of the network topology. By considering the changes induced by the removal of a hub, specifically the change in the maximum degree and the degrees of the connected nodes, we can derive another formula for the critical threshold considering targeted attacks on a scale free network.
 
Although scale-free networks are resilient to random failures, we might imagine them being quite vulnerable to targeted hub removal. In this case we consider the robustness of scale free networks in response to targeted attacks, performed with thorough prior knowledge of the network topology. By considering the changes induced by the removal of a hub, specifically the change in the maximum degree and the degrees of the connected nodes, we can derive another formula for the critical threshold considering targeted attacks on a scale free network.
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尽管无标度网络可以抵抗随机故障,但可以想象它对枢纽节点针对性的攻击其实非常脆弱。此时,我们就需要考虑无标度网络对目标攻击的鲁棒性,这需要在充分了解网络拓扑结构的前提下进行。通过研究删除枢纽节点时网络产生的变化,特别是最大程度与所连接节点的程度变化,我们就可以考虑到无标度网络上的针对性攻击,得出临界阈值的另一个公:
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尽管无标度网络可以抵抗随机故障,但可以想象它对枢纽节点针对性的攻击其实非常脆弱。此时,我们就需要考虑无标度网络对目标攻击的鲁棒性,这需要在充分了解网络拓扑结构的前提下进行。通过研究删除枢纽节点时网络产生的变化,特别是最大程度与所连接节点的程度变化,我们就可以考虑到无标度网络上的针对性攻击,得出临界阈值的另一个公式:
     
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