정보관리학회지 (Journal of the Korean Society for information Management)

  • 제25권2호
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  • Pages.157-166
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  • 2008
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  • 1013-0799(pISSN)
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  • 2586-2073(eISSN)
한국정보관리학회 (Korean Society for Information Management)
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패스파인더 네트워크 분석에 의한 ASIST Proceedings 인용흐름 연구

Citation Flow of the ASIST Proceeding Using Pathfinder Network Analysis

  • 발행 : 2008.06.30
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초록

본 연구에서는 ASIST 프로시딩을 인용한 저널들을 중심으로 패스파인더 네트워크 분석을 수행함으로써, ASIST 프로시딩의 지식이 어떠한 주제영역을 중심으로 네트워크 구조를 형성하고 있는지를 확인하는 데에 그 목적이 있다. 이를 위하여 Scopus 데이터베이스에서 검색한 240개의 문헌을 대상으로 완전연결 클러스터링 기법을 통하여 16개 클러스터를 도출하였으며, MDS 및 패스파인더 네트워크 분석을 통하여 지식 네트워크를 매핑하였다. 지금까지 대부분의 경우 학술지를 대상으로 수행되어 온 네트워크 분석을 프로시딩을 대상으로 분석을 시도하였으며, 분석결과 ASIST 프로시딩은 정보추구행태 및 탐색과 인터페이스, 계량서지학 및 지식관리 주제영역의 논문이 타 문헌에 활발하게 소비되고 있음을 확인할 수 있었다.

In this study, pathfinder network analysis has been carried out to identify subject domains of documents which cited articles in the ASIST Proceedings. This represents how articles in the ASIST Proceedings are flowed and used in what subjects areas. For this analysis, 240 documents were selected through a search of the Scopus database. The complete linkage clustering method was used to draw out 16 clusters from 240 documents. Through MDS and pathfinder network analysis, knowledge networks of clusters have been produced. As a result. articles in the ASIST Proceedings relating to knowledge management, bibliometrics, information retrieval and digital libraries have been cited actively by other publications. The most frequent citation flow type of ASIST proceedings was citation from proceedings(ASIST) to reviews(ARIST), via journals, and the most popular subject areas related to documents were bibliometrics.

키워드

참고문헌

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  5. Lee, J. Y., Moon, J. and Kim, H. 2007. "Examining the Intellectual Structure of Records Management & Archival Science in Korea with Text Mining." Journal of the Korean Society for Library and Information Science, 41(1): 345-372 https://doi.org/10.4275/KSLIS.2007.41.1.345
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피인용 문헌

  1. A classification of the journals in KCI using network clustering methods vol.27, pp.4, 2016, https://doi.org/10.7465/jkdi.2016.27.4.947
  2. Comparison of journal clustering methods based on citation structure vol.26, pp.4, 2015, https://doi.org/10.7465/jkdi.2015.26.4.827
  3. Domain analysis with text mining: Analysis of digital library research trends using profiling methods vol.36, pp.2, 2010, https://doi.org/10.1177/0165551509353251
  4. Domain Analysis on Electrical Engineering in Korea by Author Bibliographic Coupling Analysis vol.42, pp.4, 2011, https://doi.org/10.1633/JIM.2011.42.4.075