The duration of transition simulator training is one of the important reference information for airlines to purchase new aircraft. Understanding the factors that affect the duration of transition simulator training can help aircraft designers to carry out more targeted design and development. In the absence of relevant research at present, this study identifies and proposes the possibility of applying social network analysis method to explore the factors that affect the duration of transition simulator training through analysis of transition simulator training data, based on data construction and relationship analysis. In the final stage of the research, we verify the feasibility of social network analysis method to explore the factors that affect the duration of transition simulator training, taking the example of Airbus A330 to Airbus A320 simulator training subjects. By analyzing various factors, researchers can gain a better understanding of the changes and influencing factors of training duration for transition simulators. This study provides a methodological foundation for future research. Through further research and exploration, the various influencing factors on training duration for transition simulators can be deeply explored and analyzed and more comprehensive and accurate information can be provided for airlines and aircraft designers to support decision-making in aircraft purchase and training. This is of great significance for the development of the aviation industry and the improvement of flight safety.