Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Identifying Interdisciplinary Trends of Humanities, Sociology, Science and Technology Research in Korea Using Topic Modeling and Network Analysis

인문사회 과학기술 분야 연구의 학제적 동향 분석 : 토픽 모델링과 네트워크 분석의 활용

  • Choi, Jaewoong (Department of Industrial Engineering, Konkuk University) ;
  • Jang, Jaehyuk (Department of Industrial Engineering, Konkuk University) ;
  • Kim, Dae Hwan (National Research Foundation of Korea) ;
  • Yoon, Janghyeok (Department of Industrial Engineering, Konkuk University)
  • 최재웅 (건국대학교 산업공학과) ;
  • 장재혁 (건국대학교 산업공학과) ;
  • 김대환 (한국연구재단 인재경영팀) ;
  • 윤장혁 (건국대학교 산업공학과)
  • Received : 2018.12.17
  • Accepted : 2019.01.23
  • Published : 2019.03.31
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Abstract

As many existing research fields are matured academically, researchers have encountered numbers of academic, social and other problems that cannot be addressed by internal knowledge and methodologies of existing disciplines. Earlier, pioneers of researchers thus are following a new paradigm that breaks the boundaries between the prior disciplines, fuses them and seeks new approaches. Moreover, developed countries including Korea are actively supporting and fostering the convergence research at the national level. Nevertheless, there is insufficient research to analyze convergence trends in national R&D support projects and what kind of content the projects mainly deal with. This study, therefore, collected and preprocessed the research proposal data of National Research Foundation of Korea, transforming the proposal documents to term-frequency matrices. Based on the matrices, this study derived detailed research topics through Latent Dirichlet Allocation, a kind of topic modeling algorithm. Next, this study identified the research topics each proposal mainly deals with, visualized the convergence relationships, and quantitatively analyze them. Specifically, this study analyzed the centralities of the detailed research topics to derive clues about the convergence of the near future, in addition to visualizing the convergence relationship and analyzing time-varying number of research proposals per each topic. The results of this study can provide specific insights on the research direction to researchers and monitor domestic convergence R&D trends by year.

Keywords

References

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