Empirical hyperbolic distributions (Bradford‐Zipf‐Mandelbrot) for bibliometric description and prediction

Abstract

Purpose

Aims to build on the work of Buckland and Hindle regarding statistical distribution as applied to the field of bibliometrics, particularly the use of empirical laws.

Design/methodology/approach

Gives examples of hyperbolic distributions that have a bearing on the bibliometric application, and discusses the characteristics of hyperbolic distributions and the Bradford distribution.

Findings

Hyperbolic distributions are the inevitable result of combinatorial necessity and a tendency to short‐term rational behaviour.

Originality/value

Supports Bradford's conclusion from his law, i.e. that to know about one's speciality, one must go outside it.

Citation

Fairthorne, R.A. (2005), "Empirical hyperbolic distributions (Bradford‐Zipf‐Mandelbrot) for bibliometric description and prediction", Journal of Documentation, Vol. 61 No. 2, pp. 171-193. https://doi.org/10.1108/00220410510585179