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作 者:武兰芬[1,2] 姜军 Wu Lanfen;Jiang Jun(School of Intellectual Property,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China;Jiangsu Academy of Talent Development,Nanjing University of Science and Technology,Nanjing 210094,Jiangsu,China)
机构地区:[1]南京理工大学知识产权学院,江苏南京210094 [2]南京理工大学江苏人才发展战略研究院,江苏南京210094
出 处:《科研管理》2020年第2期142-151,共10页Science Research Management
基 金:国家社会科学基金项目:“基于专利分析的新兴产业与技术族群关联机制及其实现模式研究”(15BGL037)。
摘 要:本文以2002-2016年间的学术文献和专利两种数据源为基础,利用社会网络分析法从论文作者所属机构与专利权人、作者与发明人、学科与技术领域等多维视角,对全球云计算基础研究与应用研究的创新合作网络进行数据挖掘和对比分析。研究发现:云计算论文作者及所属机构间的合作更普遍;专利权人合作网络呈现分散的小网络特点,专利发明人合作关系更密切且群体性更强;云计算的基础学科是计算机理论与方法、电气与电子工程和计算机信息系统,而核心技术是数字计算机和电话与数据传输系统。基于研究结果,提出建立基础创新与应用创新的对接和融合,利用合作网络分析发掘重要的创新竞合对象,精准定位领军人才和创新群体,构建学科知识体系等促进中国云计算协同创新与产教融合的启示和建议。Innovative collaboration has become an accelerator to drive scientific and technological innovation and economic development.And the characteristics of innovative collaboration network can reflect the characteristics and scope of knowledge flow.Academic publications and patent applications are two of the most important forms of scientific innovation and technological invention.Academic literature represents advances in basic scientific knowledge while patents can demonstrate technological knowledge with significant commercial potential.Past researches primarily have used social network analysis to study innovative collaboration network from different perspectives based on paper or patent data.These studies basically utilize one single data source,i.e.paper data or patent data to analyze the structural characteristics of innovative collaboration network,knowledge flow,and impact on innovation.In the context of increasingly diversified innovation,it is necessary to analyze the structure and characteristics of the innovative collaboration network from the perspective of multi-data sources,so as to reflect the collaboration relationships between the innovative subjects in scientific and technological innovation more comprehensively,and to find out a richer network connotation.In order to study the collaboration development status of innovative network in basic scientific research and industrial technology applications of cloud computing,this paper uses social network analysis to comparatively analyze paper and patent data during the interval 2002-2016 from multi-dimensional perspectives such as institutions,individuals,disciplines or technological fields.It aims to demonstrate the innovative collaboration network in cloud computing to provide more complete and accurate analysis for the collaboration of scientific and technological innovation in cloud computing.Scientific paper data is collected in Science Citation Index Expanded(SCI-E)and Conference Proceedings Citation Index-Science(CPCI-S)from Web of Science databa
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