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An improved node algorithm based on the evaluation of weighted network node importance

机译:一种基于加权网络节点重要性评估的改进节点算法

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摘要

There are shortcomings in the node contraction method used in the evaluation of the importance of weighted network nodes. To avoid those defects, an improved importance evaluation method is proposed. The differences of edge weight have impacts on importance of nodes and edges; therefore, two improvements are made in defining the network cohesion and the importance of edges of network G* using weighted shortest distances. In this paper, this improved method is analyzed and validated through a comparative analysis. The influence of the coefficients on the importance and relative importance of the nodes is analyzed by adjusting the proportional coefficient and the weight coefficient. The results show that the improved method can provide more comprehensive and accurate assessment of the importance of weighted network nodes without increasing the computational complexity.
机译:在评估加权网络节点的重要性时使用的节点收缩方法存在缺陷。为了避免这些缺陷,提出了一种改进的重要性评估方法。边缘权重的不同会影响节点和边缘的重要性;因此,在使用加权最短距离定义网络凝聚力和网络G *边缘的重要性方面进行了两项改进。在本文中,通过比较分析对这种改进的方法进行了分析和验证。通过调整比例系数和权重系数,分析了系数对节点重要性和相对重要性的影响。结果表明,改进的方法可以在不增加计算复杂度的情况下,对加权网络节点的重要性提供更全面,准确的评估。

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