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Exploiting the Robustness on Power-Law Networks

机译:利用幂律网络的鲁棒性

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Many complex networks are discovered to follow the power-law distribution in degree sequence, ranging from the Internet, WWW to social networks. Unfortunately, there exist a great number of threats to these complex systems. In this context, it is crucial to understand the behaviors of power-law networks under various threats. Although power-law networks have been found robust under random failures but vulnerable to intentional attacks by experimental observations, it remains hard to theoretically assess their robustness so as to design a more stable complex network. In this paper, we assess the vulnerability of power-law networks with respect to their global pairwise connectivity, i.e. the number of connected node-pairs, where a pair of nodes are connected when there is a functional path between them. According to our in-depth probabilistic analysis under the theory of random power-law graph model, our results illustrate the best range of exponential factors in which the power-law networks are almost surely unaffected by any random failures and less likely to be destructed under adversarial attacks.
机译:人们发现许多复杂的网络都遵循幂律分布的程度顺序,从Internet,WWW到社交网络。不幸的是,对这些复杂系统存在大量威胁。在这种情况下,了解各种威胁下的权力法网络的行为至关重要。尽管已经发现幂律网络在随机故障下具有鲁棒性,但是通过实验观察却容易受到故意攻击,但是从理论上评估其鲁棒性以设计更稳定的复杂网络仍然很困难。在本文中,我们评估了幂律网络相对于它们的全局成对连通性的脆弱性,即连接的节点对的数量,当一对节点之间存在功能路径时,即连接一对节点。根据我们在随机幂律图模型理论下的深入概率分析,我们的结果说明了幂律网络几乎可以确定地不受任何随机故障的影响并且在较低的概率下几乎不会破坏的指数范围的最佳范围对抗攻击。

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