A relationship between two forms of Bradford's law

Hubert, J. J.

doi:10.1002/asi.4630290311

Cited by 17 publications

(6 citation statements)

References 7 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rank-frequency model has been extensively studied by Hubert (1974Hubert ( , 1978Hubert ( , 1981, who has also derived an analytical relationship between the two approaches. Lotka employed the size-frequency approach and our model has been specified in these terms.…”

Section: Organization Of Datamentioning

confidence: 99%

“…However, in the absence of random sampling, the application of inferential goodness-of-fit tests is quite invalid. This question has never been adequately addressed in the literature; recently it has begun to receive some attention (Hubert, 1978;Nelson & Tague, 1985). The whole matter of samples, populations, and inferential procedures represents a serious methodological problem.…”

Section: Estimation and Testingmentioning

confidence: 99%

See 1 more Smart Citation

Bibliometric modeling processes and the empirical validity of Lotka's Law

Nicholls

1989

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

A considerable literature exists on the empirical validity of Lotka's law; however, these studies are mainly incomparable and inconclusive, owing to substantial differences in the analytical methods applied. The main elements involved in fitting a bibliometric model to empirical data are: specification of the model, measurement of the variables, organization of the data, parameter estimation, and assessing goodness-of-fit. Each of these modeling variables is examined, a consistent methodology for applying Lotka's law is proposed, and the results of an empirical test are described. These results support the empirical validity and generality of Lotka's law as well as the suitability of the proposed methodology.

show abstract

Section: Organization Of Datamentioning

confidence: 99%

Section: Estimation and Testingmentioning

confidence: 99%

Bibliometric modeling processes and the empirical validity of Lotka's Law

Nicholls

1989

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…, and admit zero frequencies of journals.) This distribution, generally known now as the Lotka distribution, has been discussed by, e.g., Kendall, Hubert, Brookes and Egghe [23,14,7,9]. This approach can be compared with Bradford's original classification of journals into 'zones', as further developed by, e.g., Goffman, Naranan, Morse and Leimkuhler [12,[29][30][31], although Bradford created his 'zones' from high to low production journals rather than, as this approach suggests, from low to high producers.…”

Section: The Lotka Distribution Of Journals Over Production Valuesmentioning

confidence: 93%

“…What might be termed 'the Bradford literature', dating from S.C. Bradford's original study of 1934, is now extensive in scope and size and is illustrated by references [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Many of these papers provide reviewing content going well beyond the scope of the topic as originally conceived by Bradford, for example the papers by Bookstein, Brookes, and Egghe in regard to bibliometric and scientometric laws.…”

Section: Background Literaturementioning

confidence: 99%

“…It was also used, for example, in an analysis of scattering of literature on operational research by Kendall [23] and by Wallace in the context of an analysis of citedness in a journal literature on desalination [27]. Hubert makes the supportive observation that: 'given the rank of a journal [under this convention] one knows immediately how many other journals are at least as productive [14]'. The graph points produced by this convention are a subset of those produced by convention C1.…”

Section: Convention C1mentioning

confidence: 99%

See 1 more Smart Citation

Bradford ranking conventions and their application to a growing literature

Heine

1998

Journal of Documentation

View full text Add to dashboard Cite

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.Bradford distributions describe the relationship between 'journal productivities' and 'journal rankings by productivity'. However, different ranking conventions exist, implying some ambiguity as to what the Bradford distribution 'is'. A need accordingly arises for a standard ranking convention to assist comparisons between empirical data, and also comparisons between empirical data and theoretical models. Five ranking conventions are described including the one used originally by Bradford, along with suggested distinctions between 'Bradford data set', 'Bradford distribution', 'Bradford graph', 'Bradford log graph', 'Bradford model' and 'Bradford's Law'. Constructions such as the Lotka distribution, Groos droop (generalised to accommodate growth as well as fall-off in the Bradford log graph), Brookes hooks, and the slope and intercept of the Bradford log graph are clarified on this basis. Concepts or procedures questioned include: (1) 'core journal', from the Bradfordian viewpoint; (2) the use of traditional statistical inferential procedures applied to Bradford data; and (3) R(n) as a maximum (rather than median or mean) value at tied-rank values.The framework established is selectively illustrated in regard to a growing humanities literature, where particular attention was paid to generating a self-consistent and complete Bradford data set. No significant Groos effects were apparent, lending confirmation to the 'Law' as originally expressed by Bradford. Other empirical conclusions drawn are: (1) Brookes's parameter 's' is unsatisfactory as a measure of subject breadth and appears instead to reflect the size of the document corpus on a given subject, an alternative measure of subject breadth being suggested; (2) a terminal Brookes 'hook' for describing journals that (temporarily) produce zero articles provides a theoretically meaningful, although arbitrarily conditioned, extension to the Bradford graph; (3) the Lotka model of the related journal frequency distribution, which is unaffected by choice of rank convention, is more accurate than a logarithmic model of that distribution; and (4) the randomness underlying article production processes determines significant variations in journal...

show abstract

A relationship between Lotka's Law, Bradford's Law, and Zipf's Law

Chen

Leimkuhler

1986

J. Am. Soc. Inf. Sci.

View full text Add to dashboard Cite

A relationship between two forms of Bradford's law

Cited by 17 publications

References 7 publications

Bibliometric modeling processes and the empirical validity of Lotka's Law

Bibliometric modeling processes and the empirical validity of Lotka's Law

Bradford ranking conventions and their application to a growing literature

A relationship between Lotka's Law, Bradford's Law, and Zipf's Law

Contact Info

Product

Resources

About