Theory and experimentation on the most-recent-reference distribution

Authors: Egghe L.¹; Ravichandra Rao I.K.R.²

Source: Scientometrics, Volume 53, Number 3, 2002 , pp. 371-387(17)

Publisher: Springer

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Abstract:

The cumulative distribution of the age of the most-recent-reference distribution is the “dual” variant of the first-citation distribution. The latter has been modelled in previous publications of different authors but the former one has not. This paper studies a model of this cumulative most-recent-reference distribution which is different from the first-citation distribution. This model is checked on JASIS and JACS data, with success. The model involves the determination of 3 parameters and is a transformation of the lognormal distribution. However we also show that the first-citation model (involving only 2 parameters and which is easier to handle), developed in an earlier paper, gives enough freedom to give close fits to the most-recent-reference data as well.

Language: English

Document Type: Regular paper

Affiliations: 1: LUC, Universitaire Campus B-3590 Diepenbeek, Belgium E-mail: leo.egghe@luc.ac.be 2: DRTC, ISI Bangalore (India)

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