한국기록관리학회지 (Journal of Korean Society of Archives and Records Management)

  • 제18권4호
  • /
  • Pages.183-204
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  • 2018
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  • 1598-1487(pISSN)
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  • 2671-7247(eISSN)
한국기록관리학회 (Korean Society of Archives and Records Management)
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『한국기록관리학회지』 논문의 연구 주제 분석 - 2001년부터 2017년까지 -

An Analysis of the Research Topics of the Academic Papers Published in the Journal of Korean Society of Archives and Records Management: From 2001 to 2017

  • 김희섭 (경북대학교 문헌정보학과) ;
  • 강보라 (경북대학교 문헌정보학과 대학원)
  • 투고 : 2018.10.30
  • 심사 : 2018.11.14
  • 발행 : 2018.11.30
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초록

본 연구의 목적은 『한국기록관리학회지』에 게재된 논문의 연구 주제를 분석하는 것이다. 연구 목적을 달성하기 위하여 해당 학회지의 창간호(2001년)부터 최근(2017년)까지 발표된 논문 390편을 대상으로 해당 논문의 저자가 부여한 한글 키워드 875개를 수집하였다. 수집된 키워드는 NetMiner V.4를 이용하여 이들 연구 주제의 양적측면, 영향력 측면, 그리고 확장성 측면을 분석하였다. 분석 결과 연구 주제의 양적인 측면에서는 '기록정보서비스', '전자기록물', '역사기록물', '아키비스트', '국가기록원' 순으로 나타났고, 영향력 측면에서는 '기록정보서비스', '전자기록물', '평가', '지역기록물', '검색시스템' 등의 순으로 나타났고, 확장성 측면에서는 '기록정보서비스', '아키비스트', '전자기록물', '아카이브', '메타데이터'등의 순으로 파악되었다.

The main purpose of this study was to investigate the research topics of the Journal of Korean Society of Archives and Records Management, which is one of the main academic journals of archival research in Korea. To achieve this objective, a total of 875 author-assigned Korean keywords were collected from the 390 papers published from the first issue (i.e., 2001) to the current issue (i.e., 2017) in the target journal. The collected keywords were analyzed using NetMiner V.4 to discover their frequency, degree centrality, and betweenness centrality. Results showed that "Archival Information Services," "Electronic Records," "Historical Archives," "Archivists," and "National Archives of Korea" showed the most frequently conducted research topics; whereas "Archival Information Services," "Electronic Records," "Evaluation," "Locality Archives," and "Retrieval System" were the most influencing research topics. On the other hand, "Archival Information Services," "Archivists," "Electronic Records," "Archive," and "Metadata" showed the most widely intervening research topics in this research.

키워드

HKGRBG_2018_v18n4_183_f0001.png 이미지

<그림 1> 연도별 논문 편수

HKGRBG_2018_v18n4_183_f0002.png 이미지

<그림 2> 연구절차

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<그림 3> 전체 키워드 네트워크

HKGRBG_2018_v18n4_183_f0004.png 이미지

<그림 4> 3회 이상 출현 키워드 네트워크

HKGRBG_2018_v18n4_183_f0005.png 이미지

<그림 5> 3회 이상 출현 연결 중심성 네트워크

HKGRBG_2018_v18n4_183_f0006.png 이미지

<그림 6> 3회 이상 출현 매개 중심성 네트워크

HKGRBG_2018_v18n4_183_f0007.png 이미지

<그림 7> 컴포넌트 덴드로그램

HKGRBG_2018_v18n4_183_f0008.png 이미지

<그림 8> 응집성 분석

<표 1> 3회 이상 출현한 전체 키워드

HKGRBG_2018_v18n4_183_t0001.png 이미지

<표 2> 3회 이상 출현한 키워드 간의 최단거리

HKGRBG_2018_v18n4_183_t0002.png 이미지

<표 3> 노드 간의 동시 출현 빈도(상위 20개)

HKGRBG_2018_v18n4_183_t0003.png 이미지

<표 4> 연결중심 값(상위 15개)

HKGRBG_2018_v18n4_183_t0004.png 이미지

<표 5> 키워드 매개중심 값(상위 15개)

HKGRBG_2018_v18n4_183_t0005.png 이미지

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