支配中心性集:影响中心节点网络覆盖的新测度

Yuan-Lung Lin, F. Phoa
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引用次数: 4

摘要

有一个关于网络中心性的传统度量方法的列表,但是当网络中有多个中心时,它们可能会提供误导性的建议。即使对中心执行顺序选择,由于重复计算的诅咒,也难以实现真正有影响力的中心节点集的揭示。在这项工作中,我们通过一种新的图论工具,即主导中心性集(DCS),引入了一种新的衡量中心节点的影响集的网络覆盖率的方法。为了有效地计算DCS,我们推导了计算包含特定节点的循环数的精确公式。我们将该方法应用于亚马逊产品网络和Web of Science引文网络的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dominating Centrality Set: A New Measure on the Network Coverage of Influential Center Nodes
There is a list of traditional measures on the centrality of a network, but they may provide misleading suggestions when there are more than one center in a network. Even a sequential selection on the centers are performed, the revelation of a truly influential set of the center nodes is difficult to achieve due to the curse of double counting. In this work, we introduce a new measure on the network coverage of the influential set of center nodes via a new graph-theoretic tool called the dominating centrality set (DCS). To calculate the DCS efficiently, we derive the exact formulas for counting the number of cycles that contains a specific node. We demonstrate this method to the analysis of Amazon product network and the Web of Science citation network.
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