考虑局部权重和全局权重的加权网络方法研究

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中图分类号：TP309.7 文献标识码：A文章编号：2096-4706（2025）09-0079-05

Abstract： In the existing key node identification technology， although the K-shell decomposition method has been widely used， there are still some limitations in resolution and accuracy. Therefore， this paper proposes an improved node importance evaluation method WLGC. This method is further optimized on the basis of the classical K-shell algorithm. By integrating the degree weight of nodes， the influence range of neighbor nodes and the weight information of edges， and combining the information entropy theory， the overall weight and local weight are comprehensively considered. The experimental analysis shows that this method not only enhances the accuracy and consistency of the sorting results， but also significantly improves the ability to distinguish the nuances of nodes， which has certain guiding significance for the protection of key nodes of network stability and function.

Keywords： complex network; node identification; local weight; global weight

0 引 言

随着计算机技术和互联网的迅猛发展，复杂网络分析已成为理解和优化各种系统（如社交网络、交通网络和生物网络）的关键工具。（剩余7262字）