The intellectual base and research fronts of JASIS 1986–1990
Journal of the American Society for Information Science
Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Information Processing and Management: an International Journal
visualising semantic spaces and author co-citation networks in digital libraries
Information Processing and Management: an International Journal - Special issue on progress toward digital libraries
Citation mining: integrating text mining and bibliometrics for research user profiling
Journal of the American Society for Information Science and Technology
Document Warehousing and Text Mining: Techniques for Improving Business Operations, Marketing, and Sales
Journal of the American Society for Information Science and Technology
Data And Text Mining: A Business Application Approach
Data And Text Mining: A Business Application Approach
Factor matrix text filtering and clustering: Research Articles
Journal of the American Society for Information Science and Technology
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Journal of the American Society for Information Science and Technology
Journal of Information Science
Annual Review of Information Science and Technology
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
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A bibliometric analysis of author keywords in articles from nine Korean theological journals published from 2000 to 2008 found 10 clusters that represent the intellectual structure of Korean theology. Three main streams of Korean theology studies were identified: Reformed theology, general theology, and evangelicalism. The intellectual structures of the representative journal for each stream were examined in depth. To visualize these intellectual structures, we used co-word analysis and a Pathfinder network (PFnet) algorithm. The Pathfinder network was constructed by two approaches: first-order cosine coefficients and second-order correlation coefficients. Semantic review of the results suggests that second-order correlation coefficients more effectively present the intellectual structure of a domain by PFnet.