Research On Multi-agent Data Sharing Mechanism Based On Network Evolutionary Game

Being different from traditional production factors,big data contains great value,which is inseparable from data sharing.However,due to the influence of various factors,the level of social data sharing is limited,and the phenomenon of data island and data monopoly is very prominent,which greatly limits the value of data elements.Various research are conducted on how to efficiently sharing data.Therefore,the analysis and research on data sharing has strong practical significance and theoretical value.Firstly,this paper combs and summarizes the research on data sharing at home and abroad,mainly including the concept and value of data sharing and the influencing factors.Then it reviews and summarizes the research on game theory,complex network methods and data sharing from the perspective of game theory.On the basis of literature review and analysis,this paper constructs a multi-agent data sharing evolutionary game model,analyzing the key influencing factors which affect data sharing.With different parameter combinations,we discusse the evolutionary results of multi-agent participation in data sharing by simulation.Through this research process,we focus on the preconditions of how to realize multi-agent active participation in data sharing.Then,combined with the complex network theory and evolutionary game theory,this paper explores the difficulty of data sharing from the perspective of network evolution,summarizes the evolution rules of data sharing under different network structures and cooperation.Finally,based on the above theoretical research conclusions,this paper puts forward strategic suggestions to improve the level of social data sharing.Based on evolutionary game and complex network theory,this paper explores and expands the multi-agent data sharing theories,providing strategic suggestions for promoting it.