Pre-planned close air support (PCAS) is a typical air force offensive operation style, which plays a pivotal role in modern war. It is of great significance to study the information flow process of PCAS for improving the combat effectiveness of PCAS. Aiming at the problem that it is difficult to model and analyze the combat process of PCAS, the super-network theory is introduced. Through studying the basic operation process of PCAS and the interaction between nodes in the combat network, the super-network model of information flow of PCAS with two layers and five networks is constructed. Then, the topological characteristics of PCAS information flow super-network nodes from four aspects of degree centrality, intermediate number, clustering coefficient and closeness centrality are analyzed. The key nodes of the network are obtained by the comprehensive evaluation method of the importance of multi-attribute decision nodes. Finally, the rationality and effectiveness of the super-network model and the multi-attribute decision making algorithm are verified through the network attack experiment, which provides a new idea for the research of operational information flow.