Abstract: The network analysis of identifying disaster causing factors and accident causation chains is of great significance for preventing or reducing the occurrence of coal mine gas explosion accidents; Firstly, based on domestic coal mine gas accident reports, a knowledge set of accident causes was constructed, and 25 disaster factors of coal mine gas explosion accidents were identified; And based on the theory of complex networks, construct a network of coal mine gas accident disaster causing factors, calculate relevant parameters, analyze the overall and individual attributes of the network, explore the characteristics of coal mine gas disaster causing factors, and identify key nodes; Finally, calculate the betweenness centrality of the causal chain of coal mine gas accidents and propose measures to break the chain. The results show that the causal network of coal mine gas explosion accidents has the characteristics of a small world network, with an average path length of only 1.752, indicating a close coupling relationship between various causal factors. The key nodes include workers' illegal operations, power outages and wind cuts, gas accumulation, coal spontaneous combustion, and gas accumulation; The edge with the highest betweenness centrality is the one where regulatory personnel fail to perform their duties and workers violate regulations. Implementing control over key nodes and edges can effectively prevent the occurrence or development of coal mine gas accidents.