Intelligent Identification Algorithm of Key Nodes in Kill web Networks Based on PageRank

被引：0

作者：

Wang, Di ^{[1
]}

Zhang, Mengyu ^{[1
]}

Wu, Kun ^{[1
]}

Xu, Chen ^{[2
]}

Li, Junjie ^{[1
]}

Gao, Liang ^{[1
]}

机构：

[1] China Res & Dev Acad Machinery Equipment, Beijing, Peoples R China

[2] Chinese Acad Sci, Inst Software, Beijing, Peoples R China

来源：

2024 10TH INTERNATIONAL CONFERENCE ON BIG DATA AND INFORMATION ANALYTICS, BIGDIA 2024 | 2024年

关键词：

Kill web networks; Key Node Identification; Node Classification; PageRank;

D O I：

10.1109/BigDIA63733.2024.10808770

中图分类号：

学科分类号：

摘要：

This paper focus on algorithms for identifying key nodes in kill web networks. We classify nodes in kill web networks into three types: senor, decider, and act, each with specific attributes and functions. By analyzing the connections between nodes and their types, we establish the network structure. The PageRank algorithm is employed to rank nodes and determine their importance within the network. Experimental results demonstrate that our method effectively identifies key nodes in kill web networks, providing robust support and guidance for operational decision-making.

引用

页码：649 / 654

页数：6

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