Equivalent Gini coefficient, not shape parameter!

被引:0
作者
Lucio Bertoli-Barsotti
机构
[1] University of Bergamo,Department of Economics
来源
Scientometrics | 2023年 / 128卷
关键词
3DSI model; Gini coefficient; Inequality; Rank-size distribution; Citation analysis;
D O I
暂无
中图分类号
学科分类号
摘要
In a recent contribution in this journal, Gagolewski et al. (Scientometrics 127(5):2829–2845, 2022) study a new model—the so-called 3 dimensions of scientific impact (3DSI) model—for representing a rank size distribution. The model depends on three parameters/dimensions: the total number of papers, the total number of citations and a third parameter, ρ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\rho$$\end{document}, recognized by the authors as a shape parameter. We prove that ρ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\rho$$\end{document} is an equivalent Gini coefficient.
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页码:867 / 870
页数:3
相关论文
共 14 条
[1]  
Bertoli-Barsotti L(2019)How mean rank and mean size may determine the generalised Lorenz curve: With application to citation analysis Journal of Informetrics 13 387-396
[2]  
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Gagolewski M(2020)Three dimensions of scientific impact Proceedings of the National Academy of Sciences of the United States of America 117 undefined-undefined
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