| Industry-university-research(IUR)collaborative innovation network is conducive to the exchange and dissemination of knowledge,technology and information among the innovation subjects of Artificial intelligence industry,and can bring into play the functions and advantages of all parties involved in IUR,and is also an important way to enhance the innovation level of China’s Artificial intelligence industry.The field of artificial intelligence is a high incidence of technological innovation,but the current situation of economic globalization and economic regionalization makes it more difficult for individual organizations to obtain innovation resources and innovation factors compared to cooperative organizations,and only mutual exchange and cooperation between organizations can meet the needs of innovation.Therefore,this study will examine the structural characteristics and network evolution rules of the collaborative innovation network of IUR in the field of artificial intelligence in China from the perspective of patent cooperation,and on this basis,study the influence of information dissemination on the collaborative innovation network of IUR in the field of artificial intelligence in greater depth.Indepth analysis of the problems in the collaborative innovation network of IUR in the field of artificial intelligence will be carried out,and policy suggestions to promote the efficiency of collaborative innovation cooperation between IUR in the field of artificial intelligence in China will be put forward to provide reference for the development of collaborative innovation between IUR in the field of artificial intelligence in China.The paper selects patent data related to the field of artificial intelligence from 1989 to 2020.Filtering of data and describes the development trend in the field of artificial intelligence in three aspects: collaborative patent trends,collaborative patent owners and collaborative patent technologies.On the basis of complex network theory,the authors use social network analysis to analyze the structural characteristics and evolutionary trends of collaborative innovation networks between industry,academia and research in the field of artificial intelligence.Finally,the authors conduct a simulation study on information dissemination in collaborative innovation networks between industry,academia and research in the field of artificial intelligence by means of simulation analysis.The empirical research is as follows:(1)the number of Chinese artificial intelligence patent cooperation is increasing year by year,the participation of scientific research institutions is increasingly year by year,and "industry-university cooperation" has always dominated status.(2)The IUR collaborative innovation network in the field of artificial intelligence in China is consistent with the small-world network characteristics and BA network characteristics.(3)The evolution of the IUR collaborative innovation network in the field of artificial intelligence is analyzed from the three levels of the overall network,the local network,and the individual network.It is found that with the expansion of the network scale,the artificial intelligence IUR collaborative innovation network presents a "core-edge" in the evolution process.In addition,the number of cohesive subgroups gradually increases,and the subgroups are closely linked,forming a local cohesive subgroup linkage effect.The core role of the enterprise is increasingly prominent,and the enterprise has a certain degree of control over network resources.(4)By exploring the influence of network structure,network scale,information dissemination rate,information recovery rate,information immunity rate and other parameter changes on the network information dissemination of IUR collaborative innovation in the field of artificial intelligence,the study found that the BA network structure is more conducive to network information dissemination,and The efficiency of information propagation and diffusion in BA networks increases as the network size increases,other network structures have reduced information dissemination efficiency.The improvement of the information dissemination rate and information immunity rate in the artificial intelligence IUR collaborative innovation network has a positive effect on the improvement of the artificial intelligence IUR collaborative innovation capability has a hindering effect.Finally,the author put forward some suggestions: by strengthening the participation of universities and research institutes;to strengthen the cooperation and communication of innovation subjects across regions and to optimize the allocation of sci-tech innovation resources;increasing the breadth and depth of IUR collaboration innovation in the field of artificial intelligence;improving the strength of innovation entities and improve the efficiency of IUR cooperation.The above policy recommendations can promote the development of the artificial intelligence IUR collaborative innovation network. |
