The model for the cumulative nth citation distribution, as developed in [L. Egghe, I.K. Ravichandra Rao, Theory of first-citation distributions and applications, Mathematical and Computer Modelling 34 (2001) 81-90] is extended to the general source-item situation. This yields a time-dependent Lotka
Time-dependent Lotkaian informetrics incorporating growth of sources and items
โ Scribed by L. Egghe
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 441 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0895-7177
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โฆ Synopsis
In a previous article, static Lotkaian theory was extended by introducing a growth function for the items. In this article, a second general growth function -this time for the sources -is introduced. Hence this theory now comprises real growth situations, where items and sources grow, starting from zero, and at possibly different paces. The time-dependent size-and rank-frequency functions are determined and, based on this, we calculate the general, time-dependent, expressions for the h-and g-index. As in the previous article we can prove that both indices increase concavely with a horizontal asymptote, but the proof is more complicated: we need the result that the generalized geometric average of concavely increasing functions is concavely increasing.
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