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An Experimental Study on Web Link Analysis of the Korean National Archives

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2008, v.25 no.2, pp.167-181
https://doi.org/10.3743/KOSIM.2008.25.2.167

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Abstract

In this study, web link analysis of the Korean National Archives has been performed using LexiURL to show the dynamic web flow of the National Archives and to identify which closely related institutions the archives should seek to cooperate with for developing an institutional strategic plan. Inlink and co-inlink analysis were performed and, to identify related institutions of the Korean National Archives, a comparison was made with other countries such as Australia, England and the United States. Through web link analysis, several features can be detected and future directions are suggested. Most inlinks and co-inlink of the Korean National Archives were from public institutions, indicating that relationships with educational or research institutions are weak. Moreover, Korean National Archives involve fewer web links related to international activities than other countries. Proceeding from these results, educational function, research function and international activities should be fortified. Korean National Archives need to provide more materials for supporting educational and research activities and more cultural interchange among related institutions. Further research with different heritage institutions such as libraries or museums is needed.

keywords
link analysis, LexiURL, inlink, co-inlink, informetrics, National Archives, Korean National Archives, 링크분석, 동시링크분석, 계량정보분석, 국가기록원, 영구기록물관리기관

Reference

1.

Korean National Archives. http://www.archives.go.kr.

2.

Björneborn, Lennart. (2001). Small-world linkage and co-linkage (133-134). Conference on Hypertext and Hypermedia(Session: 3b-Short Papers).

3.

Cho Kwangje. (1997). Automatic Cate- gorization of HTML Documents by using Hyperlink Information (277-280). Proceedings of the Korea Information Science Society Confer- ence.

4.

정호연. (2007). 학술지 인용과 웹 링크 분석을 통한 과학기술분야의 학제성 비교 연구. 정보관리학회지, 24(3), 179-200.

5.

Koehler, Wallace C. Jr.. (1999). Classifying Web Sites and Web pages: the use of metrics and URL characteristics as markers.

6.

LexiURL - Links to a Web site or web page case study. http://lexiurl.wlv.ac.uk/help/linksToWebSiteCa-seStudy.htm.

7.

NA - National Archives. http://www.archives.gov/.

8.

NAA - National Archives of Austalia. http://www.naa.gov.au/.

9.

오효정. (2002). 점진적으로 계산되는 분류정보와 링크정보를 이용한 하이퍼텍스트 문서 분류 방법. 정보과학회논문지 : 소프트웨어 및 응용, 29(8), 498-.

10.

Thelwall, Mike. (2004). Link Analysis: An Infor- mation Science Approach:Elsevier.

11.

TNA-The National Archives. http://www.nationalarchives.gov.uk/.

12.

Yiming Yang. (2002). A study of approaches to hypertext cate- gorization. Journal of Intelligent Informa- tion Systems, 18(2), 219-241.

Journal of the Korean Society for Information Management