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Tague, Jean – Journal of the American Society for Information Science, 1981
Describes success-breeds-success phenomenon by single and multiple-urn models, and shows that these models lead to a negative binomial distribution for the total number of successes and to a Zipf-Mandelbrot law for the number of sources contributing a specified number of successes. Ten references are cited. (FM)
Descriptors: Bibliographies, Citations (References), Mathematical Formulas, Models
Peer reviewed Peer reviewed
Dominich, Sandor – Journal of the American Society for Information Science, 2000
Presents a unified mathematical definition for the classical models of information retrieval and identifies a mathematical structure behind relevance feedback. Highlights include vector information retrieval; probabilistic information retrieval; and similarity information retrieval. (Contains 118 references.) (Author/LRW)
Descriptors: Information Retrieval, Mathematical Formulas, Models, Relevance (Information Retrieval)
Peer reviewed Peer reviewed
Everett, James E. – Journal of the American Society for Information Science, 1993
Addresses objections to the validity of assuming a Poisson loglinear model as the generating process for citations from one journal into another. Fluctuations in citation rate, serial dependence on citations, impossibility of distinguishing between rate changes and serial dependence, evidence for changes in Poisson rate, and transitivity…
Descriptors: Citation Analysis, Citations (References), Mathematical Formulas, Models
Peer reviewed Peer reviewed
Everett, Daniel M.; Cater, Steven C. – Journal of the American Society for Information Science, 1992
Explains the use of a topological structure to examine the closeness between documents in retrieval systems and analyzes the topological structure of a vector-space model, a fuzzy-set model, an extended Boolean model, a probabilistic model, and a TIRS (Topological Information Retrieval System) model. Proofs for the results are appended. (17…
Descriptors: Documentation, Information Retrieval, Mathematical Formulas, Models
Peer reviewed Peer reviewed
Mather, Laura A. – Journal of the American Society for Information Science, 2000
Discussion of models for information retrieval focuses on an application of linear algebra to text clustering, namely, a metric for measuring cluster quality based on the theory that cluster quality is proportional to the number of terms that are disjoint across the clusters. Explains term-document matrices and clustering algorithms. (Author/LRW)
Descriptors: Algorithms, Cluster Analysis, Information Retrieval, Mathematical Formulas
Peer reviewed Peer reviewed
Bartell, Brian T.; And Others – Journal of the American Society for Information Science, 1995
Discussion of the failure of individual keywords to identify conceptual content of documents in retrieval systems highlights Metric Similarity Modeling, a method for creating vector space representation of documents based on modeling target interdocument similarity values. Semantic relatedness, latent semantic indexing, an indexing and retrieval…
Descriptors: Algorithms, Databases, Documentation, Indexing
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Bollmann-Sdorra, Peter; Raghavan, Vjay V. – Journal of the American Society for Information Science, 1993
Proposes that document space and query space have different structures in information retrieval and discusses similarity measures, term independence, and linear structure. Examples are given using the retrieval functions of dot-product, the cosine measure, the coefficient of Jaccard, and the overlap function. (Contains 28 references.) (LRW)
Descriptors: Information Retrieval, Mathematical Formulas, Measurement Techniques, Models
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Zhang, Jin; Korfhage, Robert R. – Journal of the American Society for Information Science, 1999
Presents a visualization tool for information retrieval that can display two different similarity measures, angle and distance, in the same space. Discusses the visual display of information-retrieval evaluation models and develops a new retrieval means based on the visual retrieval tool, the controlling bar. (Author/LRW)
Descriptors: Evaluation Methods, Information Retrieval, Mathematical Formulas, Measurement Techniques
Peer reviewed Peer reviewed
Thom, James A.; Zobel, Justin – Journal of the American Society for Information Science, 1992
Discusses models for the distribution of words in text and proposes a new model based on clustering that can be used to estimate the probability that a document contains a particular word as well as the number of distinct words in a document. Zipf's law and the Poisson approximation are also discussed. (18 references) (LRW)
Descriptors: Cluster Grouping, Mathematical Formulas, Models, Probability
Peer reviewed Peer reviewed
Kopcsa, Alexander; Schiebel, Edgar – Journal of the American Society for Information Science, 1998
Introduces a new iteration model for the calculation of co-word maps. Co-word analysis is an objective quantitative method for analyzing and integrating survey information about research trends and structures that avoids problems using statistical methods to produce mappings of reduced information. (PEN)
Descriptors: Bibliometrics, Citations (References), Information Retrieval, Mathematical Formulas
Peer reviewed Peer reviewed
van Rijsbergen, C. J.; Lalmas, M. – Journal of the American Society for Information Science, 1996
Discussion of information and information retrieval focuses on the connection between a calculus defined on channels and information retrieval, and proposes a model of an information retrieval system based on this calculus. Topics include conditionality, situation theory, the flow of information, channel theory, and four principles for an…
Descriptors: Calculus, Information Retrieval, Information Science, Information Theory
Peer reviewed Peer reviewed
Basu, Aparna – Journal of the American Society for Information Science, 1992
Reviews the literature on Bradford's law (i.e., an empirical relationship describing the distribution of scholarly articles in relevant journals). A model for the distribution of articles, based on random partitioning, is presented; and a mathematical formulation for a law of scattering is derived. The relationship of the model to Bradford's law…
Descriptors: Bibliometrics, Mathematical Formulas, Mathematical Models, Research Reports
Peer reviewed Peer reviewed
Falkowski, Bernd-Jurgen – Journal of the American Society for Information Science, 1998
Introduces a new generalization of inner product measures which removes the aesthetic deficiencies in previous research. Discusses linear similarity measures; proves the existence theorem for acceptable ranking functions in the case of a linear measure; and defines asymptotic inner product measures. (AEF)
Descriptors: Information Management, Information Retrieval, Linear Programming, Mathematical Formulas
Peer reviewed Peer reviewed
Egghe, Leo; Rousseau, Ronald – Journal of the American Society for Information Science, 1995
Reformulates the success-breeds-success (SBS) principle in informetrics in order to generate a general theory of source-item relationships. Topics include a time-dependent probability, a new model for the expected probability that is compared with the SBS principle with exact combinatorial calculations, classical frequency distributions, and…
Descriptors: Bibliometrics, Comparative Analysis, Information Science, Mathematical Formulas
Peer reviewed Peer reviewed
Burrell, Quentin L.; Fenton, Michael R. – Journal of the American Society for Information Science, 1994
Proposes and explains a modification of the mixed Poisson model for library circulations which takes into account the periods when a book is out on loan and therefore unavailable for borrowing. Highlights include frequency of circulation distributions; negative binomial distribution; and examples of the model at two universities. (Contains 34…
Descriptors: Academic Libraries, Higher Education, Library Circulation, Library Statistics
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