A progress on the shifted power function for modeling informetric laws

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Fred Y Ye
Fred Y. Ye

Abstract

Fred, Y. Y. (2014). A progress on the shifted power function for modeling informetric laws. Malaysian Journal of Library & Information ScienceVol.19, no. 1: 1-15.


Based on three theorems for size-to-rank transformations, the shifted power function is used to set up a theoretical framework unifying informetric distributions. While the shifted power function with time-type exponential cutoff supplies a unifying informetric framework, the shifted power function with space-type exponential cutoff can be linked to the Pareto and Weibull distributions. The exponent is the crucial parameter in a power function, determining the most important characteristics of the power-law distribution.


 

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How to Cite
Ye, F. Y., & Ye, F. Y. (2017). A progress on the shifted power function for modeling informetric laws. Malaysian Journal of Library &Amp; Information Science, 19(1). Retrieved from http://mjlis.um.edu.my/index.php/MJLIS/article/view/1801
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