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Node Importance Ranking in Complex Networks Based on Multicriteria Decision Making

机译：基于多准则决策的复杂网络节点重要性排序

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摘要

Measuring node importance in complex networks has great theoretical and practical significance for network stability and robustness. A variety of network centrality criteria have been presented to address this problem, but each of them focuses only on certain aspects and results in loss of information. Therefore, this paper proposes a relatively comprehensive and effective method to evaluate node importance in complex networks using a multicriteria decision-making method. This method not only takes into account degree centrality, closeness centrality, and betweenness centrality, but also uses an entropy weighting method to calculate the weight of each criterion, which can overcome the influence of the subjective factor. To illustrate the effectiveness and feasibility of the proposed method, four experiments were conducted to rank node importance on four real networks. The experimental results showed that the proposed method can rank node importance more comprehensively and accurately than a single centrality criterion.
机译：测量复杂网络中节点的重要性对于网络稳定性和鲁棒性具有重要的理论和实践意义。已经提出了各种网络集中度标准来解决此问题，但是每个标准都只关注某些方面并导致信息丢失。因此，本文提出了一种相对全面，有效的方法，即使用多准则决策方法评估复杂网络中的节点重要性。该方法不仅考虑了度中心性，紧密性中心性和中间性中心性，而且还采用了熵权法来计算各个准则的权重，可以克服主观因素的影响。为了说明该方法的有效性和可行性，进行了四个实验以对四个真实网络上的节点重要性进行排名。实验结果表明，与单个中心性准则相比，该方法可以更全面，更准确地对节点重要性进行排序。

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