一种改进的基于k - shell的节点重要性排序

Wang Jun-di, Zhu Ya-Ling, Wang Juan
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引用次数: 0

摘要

快速有效地识别复杂网络中的重要节点是控制网络通信过程的有效途径之一。将度中心性和K-Shell分解相结合,综合了节点的全局和局部特征,在计算中不依赖于其他参数。这有效改善了K-Shell分解识别能力差的缺点,提高了节点识别的分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved K-Shell-Based Ranking of Node Importance
Identifying important nodes in complex networks in a fast and effective manner is one of the useful ways to control the network communication process. Degree centrality and K-Shell decomposition are combined to integrate the global and local characteristics of the nodes, without depending on other parameters in the calculation. This effectively improves the shortcomings of poor discrimination by K-Shell decomposition and increases the resolution of node identification.
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