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Research Article
TOP-curves
Article first published online: 1 MAR 2007
DOI: 10.1002/asi.20539
Copyright © 2007 Wiley Periodicals, Inc., A Wiley Company
Issue
Journal of the American Society for Information Science and Technology
Volume 58, Issue 6, pages 777–785, April 2007
Additional Information
How to Cite
Egghe, L., Rousseau, R. and Rousseau, S. (2007), TOP-curves. J. Am. Soc. Inf. Sci., 58: 777–785. doi: 10.1002/asi.20539
Publication History
- Issue published online: 26 MAR 2007
- Article first published online: 1 MAR 2007
- Manuscript Revised: 1 JUN 2006
- Manuscript Accepted: 1 JUN 2006
- Manuscript Received: 14 DEC 2005
- Abstract
- Article
- References
- Cited By
Abstract
Several characteristics of classical Lorenz curves make them unsuitable for the study of a group of top-performers. TOP-curves, defined as a kind of mirror image of TIP-curves used in poverty studies, are shown to possess the properties necessary for adequate empirical ranking of various data arrays, based on the properties of the highest performers (i.e., the core). TOP-curves and essential TOP-curves, also introduced in this article, simultaneously represent the incidence, intensity, and inequality among the top. It is shown that TOP-dominance partial order, introduced in this article, is stronger than Lorenz dominance order. In this way, this article contributes to the study of cores, a central issue in applied informetrics.