Identifying node importance for networked systems in terms of the cascading model

IF 2.3 3区物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY

Physics Letters A Pub Date : 2024-10-22 DOI:10.1016/j.physleta.2024.129996

Qiang Guo , Min-Hui Yi , Jian-Guo Liu

引用次数: 0

Abstract

The TOPSIS method identifies the spreading influences nodes by gathering different methods together with equal weights regardless the physics that different methods are effective for different scenarios. In this paper, by introducing the cascading model to measure the target node's influence, we present a weighted TOPSIS method by taking into 1% nodes cascading influence ability to calculate the weight. Experimental results for nine real-world networks show that, comparing with the traditional TOPSIS method, average speaking, accuracy of the WTOPSIS could be enhanced by 4.471%.

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根据级联模型确定网络系统节点的重要性

TOPSIS 方法通过将不同的方法集合在一起并赋予相同的权重来识别传播影响节点，而不考虑不同方法对不同场景有效的物理现象。本文通过引入级联模型来衡量目标节点的影响力，提出了一种加权 TOPSIS 方法，将节点的级联影响能力考虑到 1%，从而计算出权重。九个实际网络的实验结果表明，与传统的 TOPSIS 方法相比，WTOPSIS 的平均准确率提高了 4.471%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physics Letters A 物理-物理：综合

CiteScore

5.10

自引率

3.80%

发文量

493

审稿时长

30 days

期刊介绍： Physics Letters A offers an exciting publication outlet for novel and frontier physics. It encourages the submission of new research on: condensed matter physics, theoretical physics, nonlinear science, statistical physics, mathematical and computational physics, general and cross-disciplinary physics (including foundations), atomic, molecular and cluster physics, plasma and fluid physics, optical physics, biological physics and nanoscience. No articles on High Energy and Nuclear Physics are published in Physics Letters A. The journal''s high standard and wide dissemination ensures a broad readership amongst the physics community. Rapid publication times and flexible length restrictions give Physics Letters A the edge over other journals in the field.