V-E算法:一种基于点边交互的重要顶点识别新算法

Haoyu Wang, Xingqin Qi
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引用次数: 0

摘要

寻找关键点是复杂网络分析中的一个重要问题,在疾病控制、信息传播等领域有着广泛的应用。这个话题越来越受到各学科的关注。在本文中,我们提出了一种新的算法,称为顶点边缘算法来寻找重要的顶点。该算法在评估顶点的重要性时既考虑了事件边,也考虑了相邻边,顶点和边的重要性构建了一个相互更新的迭代框架。我们还给出了迭代框架的收敛条件。此外,我们通过在大量网络(未加权和加权)上应用该算法,并将结果与其他10种现有方法进行比较,验证了该算法的稳定性、有效性、准确性和优越性。这种新方法具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
V-E Algorithm: A New Vital Vertex Identifying Algorithm Based on Vertex-Edge Interaction
Finding vital vertices is an important issue in complex network analysis, which has wide applications in disease control, information diffusion, etc. This topic has attracted increasing attention from various disciplines. In this paper, we propose a new algorithm called Vertex–Edge algorithm to find vital vertices. This algorithm takes both the incident edges and also its neighbors into consideration when evaluating a vertex’s importance, and the importance of vertices and edges construct a mutually updated iterative framework. We also give convergence conditions for the iterative framework. Besides, we verify the stability, effectiveness, accuracy, and superiority of this new Vertex–Edge algorithm by applying it on lots of networks (unweighted or weighted) and comparing the results with other 10 more existing methods. This new method is expected to have promising applications in the future.
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