Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/987
Title: TOP-curves
Authors: EGGHE, Leo 
ROUSSEAU, Ronald 
Rousseau, Sandra
Issue Date: 2007
Publisher: Wiley Periodicals, Inc.
Source: JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 58(6). p. 777-785
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 (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.
Document URI: http://hdl.handle.net/1942/987
ISSN: 1532-2882
DOI: 10.1002/asi.20539
ISI #: 000246379800002
Category: A1
Type: Journal Contribution
Validations: ecoom 2008
Appears in Collections:Research publications

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