Study On The Innovation Connection Of Regional Cities Based On Patent Cooperation Data

In the era of knowledge economy,the impact of innovation on social and economic development is becoming more and more significant.Innovation is also profoundly changing the interrelationships between cities in the region,and related research in the area of urban innovation connections is constantly being enriched and expanded.At present,scholars’ researches on innovation links between cities include the diffusion of innovation in cities and the evolution of spatial patterns,the structural characteristics of urban innovation networks,and the related analysis and influencing factors of urban innovation links.The main application of research methods is qualitative theoretical research and quantitative quantitative analysis research.Among them,spatial interaction models such as gravity models are used,and index systems are constructed.With the evolution of the relationship between cities,the transformation of the urban theoretical research has replaced the structural perspective with the relationship perspective and replaced the local space with the flow space.Flow space has become an important entry point for the study of regional network systems.The flow of innovation elements is one of the important urban flows to study regional development and knowledge spillovers.Therefore,based on the patent cooperation data,the application of a multi-model and social network analysis method is of great significance to the research of the innovation connection between cities.On the basis of clarifying the relevant concepts of innovation and flow space,this article elaborated the relevant research results and footholds in the field of innovation connection,and systematically combed the relevant theories of innovation connection research,and at the same time proposed a theoretical model based on full-text research,from It has been effectively interpreted at the level.The thesis mainly uses patent cooperation data and other attribute data,combined with the modified gravity model,fracture point and field strength model,social network analysis method and principal component analysis and other methods,and comprehensively uses Arc Gis,SPSS,Ucinet analysis tools,and Gephi space A series of software such as visualization tools conduct spatial measurement and network characteristics analysis of urban innovation links in the Yangtze River Delta region,and finally explore the role and influencing factors of innovative links on urban innovation development,and put forward related development strategies and suggestions for the theoretical research of innovation links Provide empirical expansion and have practical guiding significance.The results of the study found that: 1.The innovation links in the Yangtze River Delta region are generally present,showing a core-edge model as a whole,and there is a spatial proximity feature in space,which is a linear-Along the river-network development trend from strong to weak;The innovation connection network in the triangular area is clearly differentiated and the flow of factors is active.The centrality analysis presents the characteristics of the Shanghai-Nanjing dual-core drive and the significant difference in city levels.3.The difference in innovation autonomy of the cities in the Yangtze River Delta is obvious,with enclave phenomenon,the resource control of provincial capital cities is prominent,and the overall network dominance is characterized by grade decay;4.The internal subgroup structure of the Yangtze River Delta is obvious,and the phenomenon of strong union;Within the subgroup,there are prominent features of geographic proximity and grade gradient.In terms of network location,it is found that the innovation spillover effect of the Yangtze River Delta is significant,and the hierarchy is interconnected.