为全面了解国内外未来产业的研究现状与发展前沿,采用文献计量法,以中国知网(CNKI)和Web of Science论文数据为研究对象,分别从文献时序、核心机构、重要作者和研究热点等方面进行研究。结果表明:近年来,国内外关于未来产业的研究均明...为全面了解国内外未来产业的研究现状与发展前沿,采用文献计量法,以中国知网(CNKI)和Web of Science论文数据为研究对象,分别从文献时序、核心机构、重要作者和研究热点等方面进行研究。结果表明:近年来,国内外关于未来产业的研究均明显增多,伦敦大学、加利福尼亚大学、佛罗里达州立大学、清华大学、南京大学、中国人民大学等知名院校均开展了未来产业的研究;同时,形成了以黄鲁成、张杰、Kim和Kumar等重要作者为中心的研究群落,通过密切的合作展开研究;研究热点有人工智能、新能源、信息技术、工业互联网、量子信息和元宇宙等领域。展开更多
[研究目的]已有文献对企业、传统科研机构和大学的协同创新网络进行了研究,但对新型科研组织协同创新网络特征的关注不足。基于演化视角,通过案例分析,揭示新型研发机构协同创新网络的结构及其演化特征,弥补当前关于新型科研组织繁荣发...[研究目的]已有文献对企业、传统科研机构和大学的协同创新网络进行了研究,但对新型科研组织协同创新网络特征的关注不足。基于演化视角,通过案例分析,揭示新型研发机构协同创新网络的结构及其演化特征,弥补当前关于新型科研组织繁荣发展实践的理论响应不够的问题。[研究方法]使用Web of Science核心合集数据库,应用社会网络研究方法,通过考察合作发表论文数据,对北京生命科学研究所协同创新网络整体特征及其各阶段网络结构特征进行分析。[研究结论]协同创新网络规模不断扩大,新型研发机构对网络的全局性掌控能力逐渐变弱,但其在局部网络中具有较大影响,网络结构整体“小世界”特征明显;网络的演化特征与新型研发机构的创新活动表现出较高的一致性,随着网络的演化,新型研发机构的创新活动逐渐向创新链下游延伸;协同创新网络中的核心节点多为国外顶尖高校院所,新型研发机构的国际影响力有待提升。新型研发机构要进一步明确自身的功能定位,在加强与网络中位居核心位置的创新主体之间合作的同时,促进协同创新网络不断迭代升级,使得自身保持创新活力。展开更多
Purpose:The 5th Plenary Session of the 19th Communist Party of China(CPC)Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic unde...Purpose:The 5th Plenary Session of the 19th Communist Party of China(CPC)Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China’s development.Based on this background,this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.Design/methodology/approach:We propose a novel metric model for assessing national scientific research strength,which sets two indicators,national scientific self-reliance(SR)and national academic contribution(CT),to reflect“self-reliance”and“self-strengthening”respectively.Taking the research papers in quantum technology as an example,this study analyzes the scientific research strength of various countries around the world,especially China in quantum technology.Findings:The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks.China’s academic contribution(CT)to global quantum technology research is increasing and has been greater than that of the United States in 2020.Combining the two indicators,CT and SR,China’s research strength in the quantum field closely follows the United States,and the United States is the most powerful with high research autonomy.Research limitations:This paper only reflects China’s scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects,which need further study.Practical implications:The model is helpful to better understand the national scientific research strength in a certain field from“self-reliance”and“self-strengthening”.ScienceOriginality/value:We propose a novel metric model to measure the national scientific research strength from the perspective of“self-reliance”and“self-strengthening”,which provides a solid basis for the assessment of the strength level of scientific research in countries/regions and institutions.展开更多
The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted...The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted to determine how the study of scientific collaboration has evolved. A total of 1,455 articles on scientific cooperation published between 1993 and 2007 were retrieved from the SCI, SSCI and A&HCI databases with a topic search of scientific collaboration or scientific cooperation for the analysis. By using CiteSpace, the knowledge bases, research foci, and research fronts in the field of scientific collaboration were studied. The results indicated that research fronts and research foci are highly consistent in terms of the concept, origin, measurement, and theory of scientific collaboration. It also revealed that research fronts included scientific collaboration networks, international scientific collaboration, social network analysis and techniques, and applications of bibliometrical indicators, webmetrics, and health care related areas.展开更多
揭示技术演化脉络是把握技术发展规律的前提,基于专利信息的主题挖掘是基于技术发展微观机制呈现宏观规律的重要研究内容,对技术超前布局和创新驱动实践具有重大意义。技术主题动态演化分析DPL-BMM(Dirichlet process biterm-based mixt...揭示技术演化脉络是把握技术发展规律的前提,基于专利信息的主题挖掘是基于技术发展微观机制呈现宏观规律的重要研究内容,对技术超前布局和创新驱动实践具有重大意义。技术主题动态演化分析DPL-BMM(Dirichlet process biterm-based mixture model with labelling)是一种附有标签的基于双项狄利克雷过程的混合模型,其突破了传统主题模型在进行主题识别时需固定主题数目的局限,通过增加技术主题表示模块使识别到的技术主题内容更加明确。本文以人工智能领域技术为例进行实证分析,研究结果表明,该方法对技术主题及其演化脉络展示具有实际应用价值。展开更多
文摘为全面了解国内外未来产业的研究现状与发展前沿,采用文献计量法,以中国知网(CNKI)和Web of Science论文数据为研究对象,分别从文献时序、核心机构、重要作者和研究热点等方面进行研究。结果表明:近年来,国内外关于未来产业的研究均明显增多,伦敦大学、加利福尼亚大学、佛罗里达州立大学、清华大学、南京大学、中国人民大学等知名院校均开展了未来产业的研究;同时,形成了以黄鲁成、张杰、Kim和Kumar等重要作者为中心的研究群落,通过密切的合作展开研究;研究热点有人工智能、新能源、信息技术、工业互联网、量子信息和元宇宙等领域。
文摘[研究目的]已有文献对企业、传统科研机构和大学的协同创新网络进行了研究,但对新型科研组织协同创新网络特征的关注不足。基于演化视角,通过案例分析,揭示新型研发机构协同创新网络的结构及其演化特征,弥补当前关于新型科研组织繁荣发展实践的理论响应不够的问题。[研究方法]使用Web of Science核心合集数据库,应用社会网络研究方法,通过考察合作发表论文数据,对北京生命科学研究所协同创新网络整体特征及其各阶段网络结构特征进行分析。[研究结论]协同创新网络规模不断扩大,新型研发机构对网络的全局性掌控能力逐渐变弱,但其在局部网络中具有较大影响,网络结构整体“小世界”特征明显;网络的演化特征与新型研发机构的创新活动表现出较高的一致性,随着网络的演化,新型研发机构的创新活动逐渐向创新链下游延伸;协同创新网络中的核心节点多为国外顶尖高校院所,新型研发机构的国际影响力有待提升。新型研发机构要进一步明确自身的功能定位,在加强与网络中位居核心位置的创新主体之间合作的同时,促进协同创新网络不断迭代升级,使得自身保持创新活力。
基金supported by National Key R&D Program of China(Grant No.2019YFA0707201)the open fund of ISTIC-Springer Nature Joint Lab for Open Science(Grant No.HX20211292).
文摘Purpose:The 5th Plenary Session of the 19th Communist Party of China(CPC)Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China’s development.Based on this background,this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.Design/methodology/approach:We propose a novel metric model for assessing national scientific research strength,which sets two indicators,national scientific self-reliance(SR)and national academic contribution(CT),to reflect“self-reliance”and“self-strengthening”respectively.Taking the research papers in quantum technology as an example,this study analyzes the scientific research strength of various countries around the world,especially China in quantum technology.Findings:The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks.China’s academic contribution(CT)to global quantum technology research is increasing and has been greater than that of the United States in 2020.Combining the two indicators,CT and SR,China’s research strength in the quantum field closely follows the United States,and the United States is the most powerful with high research autonomy.Research limitations:This paper only reflects China’s scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects,which need further study.Practical implications:The model is helpful to better understand the national scientific research strength in a certain field from“self-reliance”and“self-strengthening”.ScienceOriginality/value:We propose a novel metric model to measure the national scientific research strength from the perspective of“self-reliance”and“self-strengthening”,which provides a solid basis for the assessment of the strength level of scientific research in countries/regions and institutions.
基金supported by the National Natural Science Foundation of China(Grant Nos.70773015,70431001 and 70620140115)the National Social Sciences Foundation(Grant No.07CTQ008)the Project of DUT(Grant No.DUTHS1002)
文摘The aim of this paper was to identify the trends and hot topics in the study of scientific collaboration via scientometric analysis. Information visualization and knowledge domain visualization techniques were adopted to determine how the study of scientific collaboration has evolved. A total of 1,455 articles on scientific cooperation published between 1993 and 2007 were retrieved from the SCI, SSCI and A&HCI databases with a topic search of scientific collaboration or scientific cooperation for the analysis. By using CiteSpace, the knowledge bases, research foci, and research fronts in the field of scientific collaboration were studied. The results indicated that research fronts and research foci are highly consistent in terms of the concept, origin, measurement, and theory of scientific collaboration. It also revealed that research fronts included scientific collaboration networks, international scientific collaboration, social network analysis and techniques, and applications of bibliometrical indicators, webmetrics, and health care related areas.
文摘揭示技术演化脉络是把握技术发展规律的前提,基于专利信息的主题挖掘是基于技术发展微观机制呈现宏观规律的重要研究内容,对技术超前布局和创新驱动实践具有重大意义。技术主题动态演化分析DPL-BMM(Dirichlet process biterm-based mixture model with labelling)是一种附有标签的基于双项狄利克雷过程的混合模型,其突破了传统主题模型在进行主题识别时需固定主题数目的局限,通过增加技术主题表示模块使识别到的技术主题内容更加明确。本文以人工智能领域技术为例进行实证分析,研究结果表明,该方法对技术主题及其演化脉络展示具有实际应用价值。
