Key nodes identification of CoPS based on complex network
Complex product systems are characterized by large scale and complex structure,the key nodes identification of com-plex product systems from the perspective of system structure is of great significance for locating potential risk sources in advance.In view of the current problems that it is difficult to ensure the reliable operation of complex product systems and for-ward-looking risk management by tracing risk sources"afterwards",a key node identification method for"before the fact"risk management is proposed considering the hierarchical structure of complex product systems and the interaction of risks among sub-systems.First,a complex network is established based on the system structure.Secondly,the null model is constructed and com-bined with the network statistical characteristics to initially divide the set of nodes,based on which a linear threshold model is in-troduced to analyze the risk propagation influence of nodes,and key nodes are selected according to the dynamic risk propagation.Finally,the system structure of the Xinzhou 700 aircraft is used for empirical analysis.The result shows that the pro-posed method can effectively identify the key nodes of complex product systems.