The Power of Lotka’s Law Through the Eyes of R
Document Type
Article
Publication Date
2015
Keywords
Authorship Distribution, Bibliometrics, Lotka’s Law, OCLC WorldCat, R
Abstract
The paper aims to outline the author impact based on Lotka’s Law using R. Lotka’s Law is well known as “the inverse square law of scientific productivity.” It states that the number of authors publishing a certain number of articles is a fixed ratio to the number of authors publishing a single article. The study found authoring patterns do not match to Lotka’s Law. The study summarizes the results using ggplot2. While the study fail to support eminent literary authors productivity, future tests should use full data set, and avoid using samples or grouping as alternative. This is the first attempt to utilize R to employ Lotka’s law using R.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Romanian Statistical Review, no. 2, p. 69-77
Scholar Commons Citation
Friedman, Alon, "The Power of Lotka’s Law Through the Eyes of R" (2015). School of Information Faculty Publications. 135.
https://digitalcommons.usf.edu/si_facpub/135
