Review of Studies Analyzing Interdisciplinary Dynamics
Chen Shiji1,2,Cui Tengteng1,Qiu Junping1,2()
1Chinese Academy of Science and Education Evaluation, Hangzhou Dianzi University, Hangzhou 310018, China 2Academy of Data Science and Informetrics, Hangzhou Dianzi University, Hangzhou 310018, China
[Objective] This paper summarizes studies analyzing interdisciplinary dynamics, aiming to construct their research framework, contents, and the latest developments. [Coverage] A total of 46 representative papers were retrieved from the Web of Science core collection and CNKI. The interdisciplinary dynamics and the related research topics such as interdisciplinary knowledge transfer, diffusion, integration, and topic evolution were used to conduct searches. We also expanded our search to include more related literature. [Methods] From the perspectives of interdisciplinary dynamics definition and theoretical research, we summarized the analytical framework of interdisciplinary dynamics. Then, we described the methods and technologies based on this framework. Finally, we summarized the developing trends of interdisciplinary dynamics from their formation mechanism and process. [Results] Interdisciplinary dynamics includes three areas of research: interdisciplinary development dynamics, interdisciplinary formation mechanism, and interdisciplinary formation process. The development of bibliometrics and scientometrics provides methods and techniques for quantitative analysis of interdisciplinary dynamics. [Limitations] There are many research on transplantation and topic evolution in interdisciplinary dynamics analysis, however, only some typical documents were reviewed by this paper. [Conclusions] At present, the studies on interdisciplinary dynamics mainly focuses on theory and mechanism, and relatively few studies on the formation mechanism and process of the interdisciplinary from a quantitative point of view. With the development of data science and bibliometrics, interdisciplinary dynamics will tend to reveal the development and evolution process of related fields from a quantitative perspective.
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