Risk identification of transnational long-distance pipelines based on complex network theory

With the large-scale development of industry, China's demand for oil and natural gas is increasing, transnational long-distance pipeline to achieve the long-distance transportation of oil and natural gas in a convenient way, pipeline accidents have a greater impact, the consequences are more serious, the risk identification of transnational long-distance pipeline is of great significance. In this paper, the risk nodes of cross-country long-distance pipeline established through the rooting theory and the coding realized by NVivo 11 software provide a theoretical basis for the identification of key risk factors in complex networks. The risk network of cross-country long-distance pipeline is identified through the complex network theory, and the topological characteristics of the risk network are analyzed, and the key risk factors of cross-country long-distance pipeline accidents are identified through the analysis of degree, centrality, and PageRank value.