Co-author Network Analysis of Research Institutes in the Computer Field Based on the Journal Articles Published in Korea

한국 학술지 기반 컴퓨터분야 연구기관 공저 네트워크 분석

  • Kim, Byungkyu (Dept. of data-centric problem solving research, KISTI) ;
  • You, Beon-Jong (Dept. of data-centric problem solving research, KISTI)
  • 김병규 (한국과학기술정보연구원 데이터기반문제해결연구단) ;
  • 류범종 (한국과학기술정보연구원 데이터기반문제해결연구단)
  • Published : 2021.07.14

Abstract

In order to reveal the co-research relationship with key research institutes in the computer field in Korea, which have high competitiveness in the ICT field, this paper analyzes the co-author network of research institutes based on the papers of Korean journals. For this study, 15 computer journals published in Korea were selected and collected for the past 5 years. In addition, authors, affiliated institutions, and country information were extracted from the papers, and experimental data were produced using institutional identification data and SNA analysis techniques. Through this, statistical analysis was performed on researchers, research institutes, and countries, and the centrality of research institutes was measured through co-authored network analysis and visualized as a map. The results of the research that analyzed the co-author relationship based on the papers in computer science journals published in Korea are as follows. First, the status of co-author relations among researchers was statistically analyzed in detail. The number of authors, the number of co-authors, and statistics by co-authoring countries, as well as the ratio of co-authored research by institution and the ratio of co-authored by country were revealed. The co-authoring status of papers in English journals was analyzed separately to compare and analyze characteristics. Second, the centrality of each individual was measured through the co-authored network analysis of the identified researchers, institutions and countries affiliated with the institution, and the frequency of connection between data by level was identified. In addition, the co-authorization network between research institutes was visualized and presented as a map so that the overall view of the co-authoring network was presented, and the connection frequency between the institutes was checked. It is possible to recommend a research partner based on the co-authoring behavior of Korean computer researchers and the co-authoring relationship between major research institutes. For this, additional research is needed to analyze the subject areas of each institution.

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Acknowledgement

This research was supported by Korea Institute of Science and Technology Information (KISTI).