Research On Key Node Identification And Link Reconstruction Of Equipment System Based On Complex Network

With the advent of the information age,the combat form has changed from platformcentric warfare to systematic confrontation,and the information interaction between combat units has become complicated.The network of equipment system is the network expression of the interaction of material,energy and information among combat units during the system operation.The nodes in the network of equipment system can be divided into sensing nodes,decision nodes,response nodes and target nodes.The dynamic interaction among nodes is abstracted as the edge of the network.Network of equipment system is a typical complex giant system.According to the complex network theory,the information interaction between network components determines the overall characteristics of the network.Therefore,this thesis will discuss the identification and protection of important node in the network of equipment system and how to optimize the network structure to improve the reliability of task completion in the case of concurrent multi-task.First,for the identification of important nodes in network of equipment system,this thesis fully considering the heterogeneity of nodes of network of equipment system,proposes a method to evaluate the importance of nodes in the network of equipment system based on community structure.It forms Boyd ring function module by dividing node function,and divides the network community according to the concentration of the function module.By considering the number of connected communities,the method distinguishes the contribution of links within and between communities to the importance of nodes.Then,the method proposed in this thesis is compared with the common node importance ranking method.the simulation results show that compared with other algorithms,the proposed method takes both efficiency and accuracy into account.Secondly,multi task concurrency may lead to congestion in the network of equipment system.In view of the above phenomenon,this thesis uses the performance of the Blaise paradox in the traffic network for reference,that is,adding additional links to a congested traffic network may make the traffic more congested.It deeply discusses the Blaise paradox in the network of equipment system,and proposes a link reconstruction method based on the Blaise paradox.In order to verify the effectiveness of this method,the network topology before and after reconstruction is simulated and compared.Simulation results show that under the condition of large network load,the reconstructed network can effectively improve the queuing phenomenon of network nodes,reallocate the routing,and improve the task completion rate.