Pathfinder associative networks: studies in knowledge organization
Pathfinder associative networks: studies in knowledge organization
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
Journal of the American Society for Information Science and Technology
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Journal of the American Society for Information Science and Technology
Exploratory Social Network Analysis with Pajek
Exploratory Social Network Analysis with Pajek
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
Towards mapping library and information science
Information Processing and Management: an International Journal - Special issue: Informetrics
Clustering methodologies for identifying country core competencies
Journal of Information Science
Developing a new collection-evaluation method: Mapping and the user-side h-index
Journal of the American Society for Information Science and Technology
Journal of Information Science
| Hi-index | 0.00 |
Archival science, like other disciplines, is evolving into more specific interdisciplinary subfields. To determine this intellectual structure of archival science, the text mining method was used. The data were 432 articles from 2001 to 2004, and we produced 43 clusters of documents using the within-group average method in SPSS. Then we generated pathfinder networks of 43 clusters and grouped them into seven subject categories: digital libraries and digital archiving technologies, online resources and finding aids, archives and archivists, legal and political issues, electronic records and technical issues, records and information management, and e-mail and information professionals. Finally, these seven subject categories were merged into three sectors: digital library, archives and RIM (Business). This study describes dynamic change in the 2001—4 research themes from traditional single-subject areas to emerging, complex subject areas. These results also show that research areas in archival sciences have much growth potential and will continue to expand.