我国水利建设产学研专利合作网络演化及特征分析

Evolution and characteristic analysis of industry-university-research patent cooperation network of China water conservancy construction

为推动解决我国水利建设产学研科技引领作用不突出、合作创新成果转化动力不足的问题,基于1987-2021年水利建设领域合作专利数据,运用社会网络分析方法,从宏观和微观视角探究了我国水利建设产学研专利合作网络的演化趋势及表现特征。结果表明:在整体网络方面,演化过程经历4个阶段,表现出网络规模扩大、密度下降、中心势先降后升、小世界网络效应显现的发展趋势;网络结构呈现多核心分布、局部聚集整体松散的特征。在个体网络方面,产、研的中心性和结构洞优势明显;企业在合作模式中的核心地位突出;主体地域分布东多西少,合作网络有向中西部转移扩散的趋势;合作技术主题集中在工程结构领域,并逐渐融合大数据、互联网、人工智能等新兴数字技术。

In order to promote the solution of the current problems of the leading role of industry-university-research science and technology in China's water conservancy construction and the lack of motivation for the transformation of cooperative innovation achievements,this study is based on the cooperative patent data in the field of water conservancy construction in China from 1987 to 2021,and uses the social network analysis method to explore the evolution trend and characteristics of China's industry-university-research patent cooperation network for water conservancy construction from macro and micro perspectives,so as to help the deep integration of industry,university and research in water conservancy construction and serve the construction of a strong water conservancy country.The results show that there are four stages in the evolution process of the whole network,including the expansion of the network scale,the decrease of the density,the decrease of the central potential first and then the rise of the small-world network effect.The network structure presents the characteristics of multi-core distribution,local aggregation and overall loose.In the aspect of individual network,the centrality of industry and research and the advantages of structural holes are obvious.The core position of industry in the cooperative mode is prominent.The regional distribution of the main body is more in the east and less in the west,and the cooperation network has a tendency to spread to the Midwest.The topic of cooperation technology focuses on the field of engineering structure and gradually integrates emerging digital technologies such as big data,Internet and artificial intelligence.