Abstract
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 analysesare 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.
| Original language | English |
|---|---|
| Pages (from-to) | 2366-2377 |
| Number of pages | 12 |
| Journal | Journal of the American Society for Information Science and Technology |
| Volume | 60 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2009 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Software
- Information Systems
- Human-Computer Interaction
- Computer Networks and Communications
- Artificial Intelligence
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Developing a new collection-evaluation method : Mapping and the user-side h-index. / Kim, Pan Jun; Lee, Jaeyun; Park, Ji-Hong.
In: Journal of the American Society for Information Science and Technology, Vol. 60, No. 11, 01.11.2009, p. 2366-2377.Research output: Contribution to journal › Article
TY - JOUR
T1 - Developing a new collection-evaluation method
T2 - Mapping and the user-side h-index
AU - Kim, Pan Jun
AU - Lee, Jaeyun
AU - Park, Ji-Hong
PY - 2009/11/1
Y1 - 2009/11/1
N2 - 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 analysesare 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.
AB - 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 analysesare 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=70349931576&partnerID=8YFLogxK
U2 - 10.1002/asi.21159
DO - 10.1002/asi.21159
M3 - Article
AN - SCOPUS:70349931576
VL - 60
SP - 2366
EP - 2377
JO - Journal of the Association for Information Science and Technology
JF - Journal of the Association for Information Science and Technology
SN - 2330-1635
IS - 11
ER -