Paper
31 May 2023 Node importance measurement based on the improved K-shell in complex network
Jun-Di Wang, Ya-Ling Zhu, Zhi-Xun Zhang
Author Affiliations +
Proceedings Volume 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023); 127041X (2023) https://doi.org/10.1117/12.2680481
Event: 8th International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE 2023), 2023, Hangzhou, China
Abstract
The key nodes in complex networks are of great significance for understanding and controlling complex networks. This paper proposes a local centrality node recognition algorithm. This method comprehensively evaluates the characteristics of the node itself, the characteristics of the second order neighbor node and the Ks value of the node. Experimental results show that this method does not rely on other parameters, and can effectively improve the resolution of node recognition.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun-Di Wang, Ya-Ling Zhu, and Zhi-Xun Zhang "Node importance measurement based on the improved K-shell in complex network", Proc. SPIE 12704, Eighth International Symposium on Advances in Electrical, Electronics, and Computer Engineering (ISAEECE 2023), 127041X (31 May 2023); https://doi.org/10.1117/12.2680481
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KEYWORDS
Detection and tracking algorithms

Reflection

Diseases and disorders

Feature extraction

Image analysis

Industry

Modeling

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