학과 유형 자동분류 및 공저 네트워크 분석: 한국 컴퓨터분야 학술지를 중심으로
Automatic Classification of Department Types and Analysis of Co-Authorship Network: Focusing on Korean Journals in the Computer Field
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초록
과학기술 문헌을 활용한 계량정보분석에서 학과정보의 활용은 매우 유용하다. 본 논문에서는 국내과학기술 분야 학술지 논문에 출현하는 대학기관 소속 저자의 학과정보 선별, 데이터 정제와 학과유형분류 처리 과정을 통해 학과정보 데이터셋을 구축하고 학습데이터와 검증데이터로 이용하여 딥러닝기반의 자동분류 모델을 구현하였다. 또한 학과정보 데이터셋과 국내 학술지 저자소속 정보를 활용하여컴퓨터 분야의 공저 구성 현황과 네트워크를 분석하였다. 연구결과, 자동분류 모델은 한글 학과정보기준 98.6% 정확률을 보였으며 컴퓨터 분야 연구자들의 공저 패턴과 기관유형, 지역, 기관, 학과유형측면별 공저 네트워크의 속성과 중심성이 자세히 파악되고 맵으로 시각화되었다.
Abstract
The utilization of department information in bibliometric analysis using scientific and technological literature is highly advantageous. In this paper, the department information dataset was built through the screening, data refinement, and classification processing of authors’ department type belonging to university institutions appearing in academic journals in the field of science and technology published in Korea, and the automatic classification model based on deep learning was developed using the department information dataset as learning data and verification data. In addition, we analyzed the co-authorship structure and network in the field of computer science using the department information dataset and affiliation information of authors from domestic academic journals. The research resulted in a 98.6% accuracy rate for the automatic classification model using Korean department information. Moreover, the co-authorship patterns of Korean researchers in the computer science and engineering field, along with the characteristics and centralities of the co-author network based on institution type, region, institution, and department type, were identified in detail and visually presented on a map.
참고문헌 (23)
- "World's Best Digital Infrastructure (Why Korea in Invest Korea Site)"[URL]
- "Center for Government Competitiveness in Seoul National University, Government Competitiveness 2021"[URL]
- "'2010-2020 Results of Analysis of Top 1% Cited Papers in Major Countries"[URL]
- B. Kim, "Dataset construction and Automatic classification of Department information appearing in Domestic journals", Proceedings of the Korean Society of Computer Information Conference, 31(1), pp.343~344 (2023)
- Byungkyu Kim, "Analysis of the citation impact of national journals toward SCIE journals on JCR ranking", Malaysian Journal of Library and Information Science, 23(2), pp.1~24 (2018), Univ. of Malaya[DOI]
- 김병규, "컴퓨터 분야 국내 학술지에 의해 인용되는 SCI 학술지의 분석", 한국컴퓨터정보학회논문지, 24(11), pp.79~86 (2019), 한국컴퓨터정보학회[DOI]
- B. Kim, "Examination of International Collaborative Research Status and Co-Authorship Network Visualization of Korean Researchers in the Computer Field", TEST Engineering & Management, 81, pp.173~182 (2019)
- B. Kim, "Co-author Network Analysis of Research Institutes in the Computer Field Based on the Journal Articles Published in Korea", Proceedings of the Korean Society of Computer Information Conference, 29(2), pp.117~122 (2021)
- 김병규, "국내 재난안전 분야 연구현황 분석: 방재 및 안전공학 관련학과의 학술지 논문을 중심으로", 한국컴퓨터정보학회논문지, 27(10), pp.43~57 (2022), 한국컴퓨터정보학회[DOI]
- 이수상, "공저 네트워크 분석에 관한 기초연구 - 문헌정보학 분야 4개 학술지를 중심으로 -", 한국도서관·정보학회지, 41(2), pp.297~315 (2010), 한국도서관·정보학회[DOI]
- 윤병의, "사회연결망분석을 활용한 건축계획 분야 공저자 네트워크 분석", 대한건축학회논문집, 33(2), pp.61~68 (2017), 대한건축학회[DOI]
- 이주연, "컴퓨터 분야 논문지에서 저자의 관심분야에 대한소셜 네트워크 분석", 한국정보통신학회논문지, 20(1), pp.193~199 (2016), 한국정보통신학회[DOI]
- 장희숙, "컴퓨터 분야의 공저자 소셜 네트워크 분석", 한국정보통신학회논문지, 22(2), pp.295~301 (2018), 한국정보통신학회[DOI]
- T. Ahmed, "Analysis of co-authorship in computer networks using centrality measures", 2017 International Conference on Communication, Computing and Digital Systems (C-CODE) (2017)
- R. Molontay, "Two decades of network science", Proceedings of the 2019 IEEE, 2019, ~
- Alex Nunes da Silva, "Analysis of co-authorship networks among Brazilian graduate programs in computer science", PLOS ONE, 17(1), pp.e0261200~ (2022), Public Library of Science (PLoS)[DOI]
- H. Choi, "Korean scholarly information analysis based on Korea Science Citation Database (KSCD)", Collnet Journal of Scientometrics and Information Management, 7(1), pp.1~33 (2013)
- "KISTI, Institution Identification Data Version 1.0", ~ (2023)
- "Korean Council for University Education, The Standard Classification of University Education Units" (2023)[URL]
- Linton C. Freeman, "Centrality in social networks conceptual clarification", Social Networks, 1(3), pp.215~239 (1978), Elsevier BV[DOI]
- "Networkx: Network analysis with python" (2020)[URL]
- N. J. van Eck, "Software survey: VOSviewer, a computer program for bibliometric mapping", Scientometrics, 84(2), pp.523~538 (2009)[DOI]
- K. Subramanyam, "Bibliometric studies of research collaboration: A review", Journal of Information Science, 6(1), pp.33~38 (1983), SAGE Publications[DOI]