基于融合创新视角的异质性知识流动网络探测研究

Heterogeneous Knowledge Flow Network Measurement Based on Perspective of Integration Innovation

前沿领域的异质性知识流动已成为创新驱动战略的基础性资源,异质性知识流动可以抽象为"专利一非专利"文献的分析过程。在相关研究结构化梳理的基础上,针对当前在研究视角、关联方法和可视化表达上存在的不足,结合引文分析的知识特性,提出专利分类号和科学关键词之间的异质性知识流动模型,并运用2-模网络分析方法,从关联次数、关联强度以及相关系数三个方面构造数据关联规则,设计具体的研究方法。在数据匹配的基础上,通过可视化技术将知识流动的关联结果进行展示。在实际应用上,通过公路工程领域的分析,揭示该领域异质性知识流动的内部结构和作用机理,对该领域知识流动情况进行深入分析。

Knowledge flow based on science and technology has become the basic resources of innovation driven strategy. The systematic analysis of the heterogeneous knowledge flow between science and technology can be abstracted as the process of patent and non-patent citation analysis. On the basis of the structured analysis of the relevant research, this study is aimed at the problems existing in the research of the perspective of the research, the correlation method and the visual expression, combined with the knowledge characteristics of citation analysis, the knowledge flow model of patent technology and Science Key words based on patent citation is put forward, and from the total number of times, the intensity and the correlation coefficient of the three aspects of the construction of data association rules, design specific research methods, and through visualization technology will be the results of knowledge flow display. On this basis, through the empirical analysis in the field of highway engineering, this study reveals the mechanism of the main patent technology and its reference in the field of non-patent literature.