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作 者:赵展一 钟永恒[1,2,3] 刘佳 李晓妍[1,2,3] ZHAO Zhanyi;ZHONG Yongheng;LIU Jia;LI Xiaoyan(Wuhan Library,Chinese Academy of Sciences,Wuhan 430071,China;Department of Library,Information and Archives Management,School of Economics and Management,University of Chinese Academy of Sciences,Beijing 100190,China;Hubei Key Laboratory of Big Data in Science and Technology,Wuhan 430071,China)
机构地区:[1]中国科学院武汉文献情报中心,武汉430071 [2]中国科学院大学经济管理学院图书情报与档案管理系,北京100190 [3]科技大数据湖北省重点实验室,武汉430071
出 处:《情报工程》2022年第3期100-111,共12页Technology Intelligence Engineering
基 金:中国科学院青年创新促进会资助项目(E1ZG081001);湖北省“十四五”高新技术产业技术预测和发展规划研究项目(2020EDA005)。
摘 要:[目的/意义]揭示产业创新主体之间的合作集群、合作地区、合作模式的变化规律,为完善产业合作网络研究与促进产业合作创新发展提供参考。[方法/过程]基于专利合作申请数据,从申请人、申请人地域、申请人类型三个维度进行产业专利合作网络结构与演化分析,揭示产业创新主体之间的合作集群、合作地区、合作模式的变化规律。梳理社会网络分析指标,建立产业专利合作网络分析框架,网络结构分析角度包括网络规模、组元关系、凝聚子群,网络演化分析角度包括申请人、申请人地域与类型。[局限]未融合产业专利转让和许可合作数据,缺乏文本语义层面的深入挖掘。[结果/结论]以中国汽车制造业为例进行实证,中国汽车制造业合作网络规模不断扩大但越来越稀疏,以企业二元合作为主,长三角集聚明显,创新主体应利用自身在规模、类型、地域上的优势,积极寻找合作机会,通过合作创新提升中国汽车制造业的整体竞争力。[Objective/Significance]It reveals the changing laws of cooperation clusters,cooperation regions and cooperation models among industrial innovation entities,and provides a reference for improving industrial cooperation networks research and promoting the development of industrial cooperation and innovation.[Methods/Process]Based on Co-application patent data,this research analyze the structure and evolution of industrial patent cooperation network from the three dimensions of applicant,applicant region,and applicant type,revealing the changing laws of cooperation clusters,cooperation regions,and cooperation modes among industrial innovation subjects.We also sort out social network analysis indicators,and establish an industrial patent cooperation network analysis framework.The network structure analysis perspective includes network scale,component relationships,and cohesive subgroups;the network evolution analysis perspective includes applicants,applicant regions and applicant types.[Limitations]It does not integrate industrial patent transfer and licensing cooperation data,and lacks in-depth exploration of text semantics.[Results/Conclusions]Finally,take China’s automobile manufacturing industry as an example for empirical research.The patent cooperation network of China’s automobile manufacturing industry has been expanding but becoming sparser.It is dominated by the dual cooperation of enterprises.The Yangtze River Delta has obvious agglomeration.Innovators should make use of their own advantages in scale,type,and region,look for opportunities for cooperation and enhance the overall competitiveness of China’s automobile manufacturing through cooperative innovation.
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