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
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
收藏
页码:649 / 654
页数:6
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