Empirical validation of Lotka's law
Information Processing and Management: an International Journal
A bibliometric system which really works
Journal of the American Society for Information Science
The duality of informetric systems with applications to the empirical laws
Journal of Information Science
Publication productivity: from frequency distributions to scientometric indicators
Journal of Information Science
Information Processing and Management: an International Journal - Special issue on Informetrics
The Poisson-lognormal model for bibliometric/scientometric distributions
Information Processing and Management: an International Journal
Generalized success-breeds-success principle leading to time-dependent informetric distributions
Journal of the American Society for Information Science
Lotka's law, Price's urn, and electronic publishing
Journal of the American Society for Information Science
Bradford's distribution: from the classical bibliometric “law” to the more general stochastic models
Journal of the American Society for Information Science - Special topic issue on the history of documentation and information science: part II
Cumulative advantage and success-breeds-success: the value of time pattern analysis
Journal of the American Society for Information Science - Special issue: knowledge discovery and data mining
The underlying process generating Lotka's law and the statistics of exceedances
Information Processing and Management: an International Journal
A new model that generates Lotka's law
Journal of the American Society for Information Science and Technology
Information and Software Technology
A semantic framework for modelling quotes in email conversations
Proceedings of the 1st International Conference on Intelligent Semantic Web-Services and Applications
Hi-index | 0.00 |
The author examines patterns of productivity in the Internet mailing lists, also known as discussion lists or discussion groups. Datasets have been collected from electronic archives of two Internet mailing lists, the LINGUIST and the History of the English Language. Theoretical models widely used in informetric research have been applied to fit the distribution of posted messages over the population of authors. The Generalized Inverse Poisson-Gaussian and Poisson-lognormal distributions show excellent results in both datasets, while Lotka and Yule–Simon distribution demonstrate poor-to-mediocre fits. In the mailing list where moderation and quality control are enforced to a higher degree, i.e., the LINGUIST, Lotka, and Yule–Simon distributions perform better. The findings can be plausibly explained by the lesser applicability of the success-breeds-success model to the information production in the electronic communication media, such as Internet mailing lists, where selectivity of publications is marginal or nonexistent. The hypothesis is preliminary, and needs to be validated against the larger variety of datasets. Characteristics of the quality control, competitiveness, and the reward structure in Internet mailing lists as compared to professional scholarly journals are discussed. © 2006 Wiley Periodicals, Inc.