Lotka's law
Lotka's law, named after Alfred J. Lotka, is one of a variety of special applications of Zipf's law. It describes the frequency of publication by authors in any given field. It states that the number of authors making contributions in a given period is a fraction of the number making a single contribution, following the formula where nearly always equals two, i.e., an approximate inverse-square law, where the number of authors publishing a certain number of articles is a fixed ratio to the number of authors publishing a single article. As the number of articles published increases, authors producing that many publications become less frequent. There are 1/4 as many authors publishing two articles within a specified time period as there are single-publication authors, 1/9 as many publishing three articles, 1/16 as many publishing four articles, etc. Though the law itself covers many disciplines, the actual ratios involved are discipline-specific.
The general formula says:
or
where X is the number of publications, Y the relative frequency of authors with X publications, and n and are constants depending on the specific field.
Example
Say 100 authors write at least one article each over a specific period, we assume for this table that C=100 and n=2. Then the number of authors writing portions of any particular articles in that time period is described as in the following table:Portion of articles written | Number of authors writing that number of articles |
10 | 100/102 = 1 |
9 | 100/92 ≈ 1 |
8 | 100/82 ≈ 2 |
7 | 100/72 ≈ 2 |
6 | 100/62 ≈ 3 |
5 | 100/52 = 4 |
4 | 100/42 ≈ 6 |
3 | 100/32 ≈ 11 |
2 | 100/22 = 25 |
1 | 100 |
That would be a total of 294 articles with 155 writers with an average of 1.9 articles for each writer.
This is an empirical observation rather than a necessary result. This form of the law is as originally published and is sometimes referred to as the "discrete Lotka power function".
Software
- Friedman, A. 2015. "The Power of Lotka’s Law Through the Eyes of R" The Romanian Statistical Review. Published by .
- - to fit a Lotka power law distribution to observed frequency data.