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

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.