Results 241 to 250 of about 3,918 (277)

Bradford’s Law of Scattering: Ambiguities in the Concept of “Subject”

2005
Bradford's law of scattering is said to be about subject scattering in information sources. However, in spite of a corpus of writings about the meaning of the word “subject” and equivalent terms such as “aboutness” or “topicality”, the meaning of “subject” has never been explicitly addressed in relation to Bradford's law.
Birger Hjørland, Jeppe Nicolaisen
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Evidence for the invalidity of the Bradford law for the single scientist

Scientometrics, 1980
On the basis of a previously proposed method using meta-informations accumulating during SDI from an international system of the INIS-type, it is investigated, how the scientific journal rank distribution of a research institution, for which the Bradford law is valid, is composed of the single scientists' journal distributions.
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Bradford's law and the periodical literature of information science

Journal of the American Society for Information Science, 1975
AbstractThe journal citations in A Bibliography on Information Science and Technology (13) provide the data for this Bradford graphical analysis. The mixture of scholarly and nonscholarly work which constitutes the periodical literature of information science is discussed, primarily in terms of the ten journals isolated as the core.
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“Bradford's law” and the relationship between ecology and biogeography

Scientometrics, 1990
Core journals in ecology and biogeography were identified on the basis of Bradford's Law of Scattering, and their degree of overlap measured as percentage Similarity (PS). Areas of common interest between the two disciplines, as well as of uniqueness, were determined through bibliometric analysis of these core journals.
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An empirical examination of the existing models for Bradford's law

Information Processing & Management, 1990
Abstract All the existing models for Bradford's law were summarized and classified into different categories (e.g., rank-frequency cumulative, rank-frequency noncumulative, size-frequency, and other forms). The relationships between some models were established by mathematical deduction.
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Two components of a causal explanation of Bradford's law

Journal of Information Science, 1996
One can suppose that Bradford's law is valid for all scientific fields. As an implication of this general validity and because of limitations of space, journals must differ in their subject structure, and every journal must have its own hierarchy of subjects, conforming to a Bradford or a similar distribution.
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A relationship between two forms of Bradford's law

Journal of the American Society for Information Science, 1978
AbstractIf g(x) is the number of journals having x references, we speak of a size‐frequency relationship. If f(r) is the number of references in a journal of rank r, we speak of a rank‐frequency relationship. In the former we can estimate the number of journals, given the number of references; in the latter we can estimate the number of references ...
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Bradford’s Law and the Nigerian Entomological Literature

International Journal of Tropical Insect Science, 1984
—Journal citations in Bibliography of entomological research in Nigeria: 1900–1973 were subjected to Bradford analysis with the view of evaluating the completeness of the bibliography and determining the core journals and core authors. As to the completeness of the bibliography, it was inferred that the bibliography is 93% complete in terms of journals
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The periodical literature of demography and Bradford's law

International Journal of Information Management, 1986
This paper presents a statistical analysis of the journals and papers abstracted in Population Index, 1984. A Bradford distribution is fitted to the papers in all the journals regularly scanned by Population Index, as well as in the journals specifically designated as demography.
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Zipf’s and Bradford’s laws and universal models

Automatic Documentation and Mathematical Linguistics, 2010
Zipf’s and Bradford’s laws are empirical laws that were derived by the processing and analysis of so-called rank distributions. In this paper, they are treated as special cases of generalized (universal) continuous distributions that can accurately describe a wide variety of statistical distributions, including rank.
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