农业图书情报学报 ›› 2023, Vol. 35 ›› Issue (11): 40-52.doi: 10.13998/j.cnki.issn1002-1248.23-0750

• 研究论文 • 上一篇    下一篇

基于多层网络的科学-技术微观知识流动分析框架研究

吴宁1,2, 杨艳萍1,2,*   

  1. 1.中国科学院文献情报中心,北京 100190;
    2.中国科学院大学 经济与管理学院图书信息资源管理系,北京 100190
  • 收稿日期:2023-12-04 出版日期:2023-11-05 发布日期:2024-02-28
  • 通讯作者: *杨艳萍(1982- ),女,研究员,博士,研究方向为情报学理论方法与应用。Email:yangyp@mail.las.ac.cn
  • 作者简介:吴宁(1998- ),女,硕士,研究方向为情报学理论方法与应用
  • 基金资助:
    中国科学院文献情报能力建设专项(E1290423)

Analysis Framework of Science-Technology Microcosmic Knowledge Flow Based on a Multi-layer Network

WU Ning1,2, YANG Yanping1,2,*   

  1. 1. National Science Library, Chinese Academy of Sciences, Beijing 100190;
    2. Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
  • Received:2023-12-04 Online:2023-11-05 Published:2024-02-28

摘要: [目的/意义]知识如何在科学与技术间流动并推动创新是情报学领域的一个热点问题。本研究将从微观层面揭示科学与技术之间的知识流动网络结构特征,为发现新的知识流动传播路径,理解科学与技术之间的联系和挖掘创新突破点提供新思路。[方法/过程]本研究基于专利和论文数据并利用多层网络的方法,构建了科学-技术二维知识流动微观网络分析框架,并以转基因玉米为例开展了实证研究,验证了对科学-技术知识流动结构特征进行细粒度揭示的可行性。[结果/结论]本研究提出的分析框架可以揭示微观视角下的知识流动特征,并能够在转基因玉米实证案例中识别出两类知识流动结构,拓展和丰富了知识流动相关研究。未来,本研究提出的科学-技术二维知识流动研究框架可进一步扩展,通过改变知识主体类型、丰富知识属性因素、扩展知识流动路径得到更广泛的应用。

关键词: 科学-技术关联, 知识流动, 多层网络, 知识产权, 技术预测

Abstract: [Purpose/Significance] Today, the methods of global technology cooperation have become diversified, while the patterns of knowledge and resource flows have become networked. The way knowledge flows between science and technology and promotes innovation is a hot topic in informatics research. Under such circumstances, the transfer and flow of technical knowledge has become increasingly important for the creation of new technologies and the generation of new knowledge. It can provide potential solutions for solving technical problems and generating technological competitive advantages. This study reveals the structural characteristics of the knowledge flow network between science and technology from a micro perspective, and provides new ideas for discovering new knowledge flow and communication channels, understanding the links between science and technology, and exploring innovation breakthroughs. [Method/Process] This paper adopts a multi-perspective approach and exames technical knowledge citation, scientific knowledge citation, and the intersection of scientific knowledge. Specifically, the study focuses on patent-patent citation, patent-paper citation, and paper-discipline co-occurrence, and uses a multi-layer network method to develop a science-technology (S&T) knowledge flow micro-network analysis framework. Through this framework, knowledge flow patterns between science and technology can be comprehensively explored. An empirical study was conducted in the field of genetically modified corn to investigate the knowledge flow patterns between science and technology. Using a multi-layered network model, this study aims to explore the relationship between science and technology from three different perspectives. [Results/Conclusions] The results of the study suggest that technology nodes that absorb multidisciplinary knowledge are more likely to engage in knowledge diffusion or absorption. Additionally, knowledge flow is more likely to occur between the technology nodes corresponding to two interdisciplinary subjects. The analytical framework proposed in our study can reveal the characteristics of knowledge flow from a micro perspective, and can identify two types of knowledge flow structures in the empirical case of genetically modified corn, which extends and enriches existing research on knowledge flow. In the future, the S&T knowledge flow research framework proposed in this study has the potential to be further extended and widely applied by incorporating different types of knowledge subjects, enriching knowledge attribute factors, and expanding knowledge flow paths. For instance, the research framework can be extended to broader fields to explore the relationship between knowledge flow patterns and the characteristics of these fields. It can also be used to explore knowledge flow patterns and potential technological breakthroughs at different flow levels and innovation themes. Such research can serve as a basis for innovation policy and provide theoretical support for the development of strategies and technology research directions.

Key words: knowledge flows, science-technology linkages, multi-layered networks, intellectual property rights, technical prediction

中图分类号: 

  • G258

引用本文

吴宁, 杨艳萍. 基于多层网络的科学-技术微观知识流动分析框架研究[J]. 农业图书情报学报, 2023, 35(11): 40-52.

WU Ning, YANG Yanping. Analysis Framework of Science-Technology Microcosmic Knowledge Flow Based on a Multi-layer Network[J]. Journal of Library and Information Science in Agriculture, 2023, 35(11): 40-52.