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Time-dependent Lotkaian informetrics incorporating growth of sources and items

โœ 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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โœฆ 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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Item-time-dependent Lotkaian informetric
โœ L. Egghe ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 251 KB

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