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首页> 外文会议>2014 Communications security conference >The evaluation of complex networks' robustness based on entropy measure
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The evaluation of complex networks' robustness based on entropy measure

机译：基于熵测度的复杂网络鲁棒性评估

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Intentional attacks usually cause greater damage than random failures to complex networks, so it is important to study the networks' resilience to attacks. Although various entropy measures have been available to measure the heterogeneity of complex networks to analyze their properties, they can't distinguish the difference of robustness between the scale-free networks and random networks. Hence, we propose a new entropy measurement base on the node importance to measure complex networks' robustness to attacks. The experimental analysis shows that the importance-based entropy measure describes the robustness properties of complex networks precisely which are in consistent with the well-known conclusion and it distinguishes the difference between the scale-free networks and random networks more obviously.
机译：有意攻击通常比对复杂网络的随机故障造成的破坏更大，因此研究网络对攻击的适应性很重要。尽管可以使用各种熵度量来测量复杂网络的异质性以分析其性能，但是它们无法区分无标度网络和随机网络之间的鲁棒性差异。因此，我们提出了一种基于节点重要性的新的熵度量，以度量复杂网络对攻击的鲁棒性。实验分析表明，基于重要性的熵测度准确地描述了复杂网络的鲁棒性，这与众所周知的结论相符，并且可以更清楚地区分无标度网络与随机网络之间的差异。

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