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Study on Determining Core Journals and Network Analysis in the Field of Disaster & Safety

재난안전 분야 핵심 학술지 탐색 및 네트워크 분석 연구

  • 김병규 (한국과학기술정보연구원 데이터기반문제해결연구단) ;
  • 류범종 (한국과학기술정보연구원 데이터기반문제해결연구단)
  • Received : 2019.10.29
  • Accepted : 2019.11.22
  • Published : 2019.11.30

Abstract

Recent disasters are a complex and growing trend. In order to effectively prepare for and respond to disasters that occur without notice, it is very important to use scientific information related to disaster and safety in addition to the standardized disaster safety information that is used. In this paper, we searched and selected major journals in the field of disaster & safety and conducted various network analysis studies using the classification scheme for development of integrated metadata for disaster & safety information developed through Disaster & Safety Information Sharing Platform R&D project as well as KSCD. Also, we have constructed and analyzed citation network, co-authorship network and keyword network through data identification and preprocessing of research paper contents. As a result of this study, based on the network constructed by information analysis unit, the network structure between core domestic and foreign journals, major research institutes, core keywords and individual information by disaster & safety type was identified in detail, and the analysis results were presented on a case-by-case basis.

최근 발생하는 재난의 형태는 복합적이며 대형화되어가고 있는 추세이다. 예고 없이 발생하는 재난에 효과적으로 대비하고 대응하기 위해서는 기존에 활용되는 정형화된 재난안전정보 이외에 재난안전 분야의 학술정보를 활용하는 것이 매우 중요하다. 본 논문에서는 한국과학기술인용색인DB와 재난안전정보 공유 플랫폼 기술개발 R&D 사업에서 개발한 재난안전정보 분류체계를 활용하여 재난안전 분야 학술지를 식별하고 논문 콘텐트의 데이터 식별 및 전처리를 통해 인용관계 네트워크, 공저 네트워크, 키워드 네트워크를 구축하고 분석하였다. 연구 결과, 정보 분석 단위별로 구축된 네트워크를 기반으로 재난안전유형별 국내 및 해외 핵심 학술지, 주요 연구기관, 주요 키워드와 개별 정보간의 연결 구조가 자세히 파악되었으며 사례별로 분석 결과를 제시하였다.

Keywords

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