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.
Kim, H.. (2004). Exploring the Emerging Intellectual Structure of Archival Studies using Text mining: 2001-2004. Journals of Information Science, 34(3), 356-369.
Kim, H.. (2008). Archiving Research Trends in LIS Domain using Profiling Analysis. Scientometrics, 20(10), -.
Kim, P.. (2007). Mapping Knowledge Domains with Descriptor Profiling (131-138). Proceedings of the 14th Conference of Korean Society for Information Manage- ment.
이재윤. (2006). 지적 구조 분석을 위한 새로운 클러스터링 기법에 관한 연구. 정보관리학회지, 23(4), 215-231.
이재윤. (2007). 텍스트 마이닝을 이용한 국내 기록관리학 분야 지적구조 분석. 한국문헌정보학회지, 41(1), 345-372.
Porter, M.. (1980). An Algorithm for Suffix Strip- ping. Program, 14(3), 130-137.
Salton, G.. (1983). Introduction to Modern Information Retrieval:McGrawHill Book Co..
Schvaneveldt, R. W.. (1990). Pathfinder Associative Networks: Studies in Knowledge Organiza- tion.
Scopus homepage. http://www.scopus.com.