Bibliometric Laws: Lotka, Bradford, Zipf
Three foundational empirical laws describe the structure and distribution of scientific information: Lotka's Law characterizes author productivity (most authors publish few papers; a few publish many), Bradford's Law describes journal concentration (a small number of core journals contain the majority of papers on a topic), and Zipf's Law models word and term frequency (word frequency inversely proportional to its rank). These regularities, discovered in the mid-20th century, are remarkably robust across disciplines and have become essential tools for understanding research productivity, organizing information resources, and designing search strategies.
Dossier source
Citations copiées telles quelles du dossier source de la méthode. Aucune vérification au niveau de la revendication n'en est déduite.
- Lotka, A. J. (1926). The frequency distribution of scientific productivity. Journal of the Washington Academy of Sciences, 16(12), 317–323. · URL
- Bradford, S. C. (1934). Sources of information on specific subjects. Engineering, 137, 85–86. · URL
- Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley. · ISBN 978-0486435466
Revendications organisées
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Méthodes apparentées
Généré à partir du graphe de méthodes et présenté comme des relations suggérées par la machine — aucune revendication de preuve n'est déduite.