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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 |
Files in This Item:
File | Description | Size | Format | |
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top 1.pdf | 266.04 kB | Adobe PDF | View/Open | |
top-curves.pdf | 266.04 kB | Adobe PDF | View/Open |
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