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Distributed location of the critical nodes to network robustness based on spectral analysis

机译:基于频谱分析将关键节点的位置分布分配给网络鲁棒性

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We propose a methodology to locate the most critical nodes to network robustness in a fully distributed way. Such critical nodes may be thought of as those most related to the notion of network centrality. Our proposal relies only on a localized spectral analysis of a limited neighborhood around each node in the network. We also present a procedure allowing the navigation from any node towards a critical node following only local information computed by the proposed algorithm. Experimental results confirm the effectiveness of our proposal considering networks of different scales and topological characteristics.
机译:我们提出了一种方法,可以以完全分布式的方式定位最关键的节点来实现网络的鲁棒性。可以将此类关键节点视为与网络中心性概念最相关的节点。我们的建议仅依赖于网络中每个节点周围有限邻域的局部频谱分析。我们还提出了一个过程,该过程仅允许遵循所提出算法计算的本地信息从任何节点导航到关键节点。实验结果证实了我们的建议的有效性,考虑了不同规模和拓扑特征的网络。

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