A new explanation of the geometric law in the case of library circulation data

In this article we propose a mathematical model using the probability formalism in order to explain why we often observe a geometrical law in the case of library circulation data. To obtain this result we used simple techniques based on convolution theory.

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Bibliographic Details
Published inInformation processing & management Vol. 33; no. 4; pp. 523 - 527
Main Authors Lafouge, Thierry, Lainé-Cruzel, Sylvie
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.07.1997
Elsevier Science
Elsevier Science Ltd
Subjects
Bibliometrics. Scientometrics. Evaluation
Bradford Law of Scatter
Circulation data
Exact sciences and technology
Geometric Concepts
Geometric laws
Information and communication sciences
Information science. Documentation
Library and information science. General aspects
Library Circulation
Library science
Lotka Law of Scientific Productivity
Mathematical Formulas
Mathematical Models
Probability
Sciences and techniques of general use
Statistical Distributions
Studies
Loans
Probability distribution
Library
Mathematical model
Convolution equation
Informetrics
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Summary:In this article we propose a mathematical model using the probability formalism in order to explain why we often observe a geometrical law in the case of library circulation data. To obtain this result we used simple techniques based on convolution theory.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0306-4573
1873-5371
DOI:10.1016/S0306-4573(96)00075-1