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| Shaw, W. M., Jr. | 1 |
| Shepherd, Michael A. | 1 |
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Peer reviewedLogan, Elisabeth L.; Shaw, W. M., Jr. – Journal of the American Society for Information Science, 1987
The role of the coauthor relationship in the structure of informal communications networks within disciplines is explored, and the validity of coauthor graphs used to map these relationships is tested for both small and large databases. (CLB)
Descriptors: Authors, Bibliometrics, Cluster Grouping, Cooperation
Peer reviewedGriffith, Belver C.; Servi, Patricia N. – Journal of the American Society for Information Science, 1980
Illustrates a method to divide large citation database files into clusters of journals without requiring the use of arbitrary starting points. Results are discussed relative to biomedical literature. (Author/FM)
Descriptors: Citation Indexes, Citations (References), Cluster Grouping, Databases
Peer reviewedShepherd, Michael A.; Phillips, W. J. – Journal of the American Society for Information Science, 1986
Defines relationship between user profile and user query in terms of relationship between clusters of documents retrieved by each, and explores the expression of cluster similarity and cluster overlap as linear functions of similarity existing between original pairs of profiles and queries, given the desired retrieval threshold. (23 references)…
Descriptors: Cluster Analysis, Cluster Grouping, Databases, Equations (Mathematics)
Peer reviewedCan, Fazli – Information Processing and Management, 1994
Discussion of relevancy in information retrieval systems focuses on an analysis of the efficiency of various cluster-based retrieval (CBR) strategies. A method for combining CBR and inverted index search is proposed that is cost effective in terms of time efficiency; and results of experiments are reported. (Contains 32 references.) (LRW)
Descriptors: Algorithms, Cluster Grouping, Comparative Analysis, Cost Effectiveness
