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

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.

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

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

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