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我国产业集群创新网络研究热点及前沿——基于CiteSpace的可视化分析 被引量:1

Research Hotspots and Frontiers of China’s Industrial Cluster Innovation Network——Visual Analysis Based on CiteS pace
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摘要 近年来,产业集群已发展成为我国区域经济发展的重要产业组织模式,为研究产业集群创新网络领域的研究现状、热点以及趋势,文中基于2000-2021年中国知网上以“产业集群创新网络”或“集群创新网络”为主题的1268篇文献,使用Cite Space绘制知识图谱对发文情况及文献数据进行可视化分析,梳理了当前的研究现状、热点主题及研究前沿趋势。研究结果表明,国内产业集群创新网络研究发文量呈波动上升趋势,且已形成网络演化典型模式、网络结构特征、网络内部作用机制、创新网络治理4大研究主题。未来研究前沿趋势包括协同创新网络的搭建、运营、治理与双重网络嵌入研究。 In recent years,industrial cluster has developed into an important industrial organization mode of regional economic development in China. In order to study the research status,hot spots and trends in the field of industrial cluster innovation network,based on 1268 literatures with the theme of “industrial cluster innovation network”or “cluster innovation network”collected by CNKI from 2000 to 2021,this paper uses Cite Space to draw knowledge graph to perform visual analysis on the publishing situation and literature data,in which the current research status,hot topics and research trends are summarized.The results show that the number of published papers on domestic industrial cluster innovation network shows an upward trend of fluctuation,and has formed four major research topics which are typical network evolution pattern,network structure characteristics,internal action mechanism of network,and innovation network governance. Future research trends include the construction,operation,governance and dual network embedding of collaborative innovation networks.
作者 彭英 梁宸 余小莉 PENG Ying;LIANG Chen;YU Xiao-li(School of Management,Nanjing University of Posts and Telecommunications,Nanjing 210003;ITU Research Center for Telecommunications Economics and Policy,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)
出处 《物流工程与管理》 2022年第9期101-104,96,共5页 Logistics Engineering and Management
基金 国家社科基金项目“复杂网络视角下的高新技术产业集群创新研究”(19FGLB017) 江苏省社科基金项目“复杂网络背景下高新技术产业集群创新研究”(18HQ009) 江苏省政府留学奖学金资助。
关键词 产业集群创新网络 Cite Space 文献研究 知识图谱 industrial cluster innovation network Cite Space literature research knowledge graph
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