Outliers in Price’s Law
Keywords:
Outlier. Exploratory Data Analysis. Price’s Law. Bibliometrics. Statistics.Abstract
Looking at the most productive subset of authors as outliers, this study proposes the use of Exploratory Data Analysis (EDA) to detect outliers, and thus the productive elite. Price’s Law or the square root criteria proposed by Price has two major problems: first, the square root of the total number of authors is not always an integer value, creating the need to employ truncate or rounded values. Second, the cutoff point is not easy to select, since the theoretical value rarely fits the observed data. Besides, the detection of outliers from EDA finds a unique way to show the elite. In the end of the study we conclude that outliers may give non integer values for author production, but offers only one value to identify the elite set in a given area of knowledge.Downloads
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Copyright (c) 2014 Dávilla Vieira Odízio da Silva, Alexandre Masson Maroldi, Luís Fernando Maia Lima
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