Network robustness and topological characteristics in scale-free networks

D. Kasthurirathna, Piraveenan Mahendra, Gnana Thedchanamoorthy
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引用次数: 6

Abstract

In this paper, we explore the relationship between the topological characteristics of a complex network and its robustness to sustained targeted attacks. Using synthesized scale-free networks, we look at a number of network measures, including rich club profiles, scale-free exponent, modularity, assortativity, average path length and clustering coefficient of a network, and how each of these influence the robustness of a scale-free network under targeted attacks. We consider sustained targeted attacks by order of node degree. We show that assortativity and average path length have a positive correlation with network robustness, whereas clustering coefficient has a negative correlation. We did not find any correlation between the modularity and robustness, scale-free exponent and robustness, or rich-club profiles and robustness. Our results highlight the importance of topological characteristics in influencing network robustness, and illustrate design strategies network designers can use to increase the robustness of scale-free networks under sustained targeted attacks.
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无标度网络的鲁棒性和拓扑特性
在本文中,我们探讨了复杂网络的拓扑特征与其对持续目标攻击的鲁棒性之间的关系。使用合成的无标度网络,我们研究了许多网络度量,包括丰富的俱乐部概况、无标度指数、模块化、分类性、平均路径长度和网络的聚类系数,以及它们如何影响目标攻击下无标度网络的鲁棒性。我们按节点度的阶来考虑持续的目标攻击。我们发现,分类度和平均路径长度与网络鲁棒性呈正相关,而聚类系数与网络鲁棒性呈负相关。我们没有发现模块化和稳健性,无标度指数和稳健性,或富俱乐部概况和稳健性之间的任何相关性。我们的研究结果强调了拓扑特征在影响网络鲁棒性方面的重要性,并说明了网络设计者可以使用的设计策略,以提高持续目标攻击下无标度网络的鲁棒性。
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