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
Mapping Scientific Frontiers: The Quest for Knowledge Visualization
Mapping Scientific Frontiers: The Quest for Knowledge Visualization
Journal of the American Society for Information Science and Technology
Using the h-index to rank influential information scientistss: Brief Communication
Journal of the American Society for Information Science and Technology
Information Visualization: Beyond the Horizon
Information Visualization: Beyond the Horizon
Dynamic h-index: The Hirsch index in function of time: Brief Communication
Journal of the American Society for Information Science and Technology
Exploring the emerging intellectual structure of archival studies using text mining: 2001-2004
Journal of Information Science
Hi-index | 0.00 |
This study proposes a new visualization method and index for collection evaluation. Specifically, it develops a network-based mapping technique and a user-focused Hirsch index (user-side h-index) given the lack of previous studies on collection evaluation methods that have used the h-index. A user-side h-index is developed and compared with previous indices (use factor, difference of percentages, collection-side h-index) that represent the strengths of the subject classes of a library collection. The mapping procedure includes the subject-usage profiling of 63 subject classes and collection-usage map generations through the pathfinder network algorithm. Cluster analyses are then conducted upon the pathfinder network to generate 5 large and 14 small clusters. The nodes represent the strengths of the subject-class usages reflected by the user-side h-index. The user-side h-index was found to have advantages (e.g., better demonstrating the real utility of each subject class) over the other indices. It also can more clearly distinguish the strengths between the subject classes than can collection-side h-index. These results may help to identify actual usage and strengths of subject classes in library collections through visualized maps. This may be a useful rationale for the establishment of the collection-development plan. © 2009 Wiley Periodicals, Inc.