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|Title: ||Author inflation leads to a breakdown of Lotka's law|
|Authors: ||ROUSSEAU, Ronald|
|Issue Date: ||2001|
|Publisher: ||JOHN WILEY & SONS INC|
|Citation: ||Journal of the American Society for Information Science and Technology, 52(8). p. 610-614|
|Abstract: ||It is empirically shown that, even using the normal or total counting procedure, Lotka's law breaks down when articles with a large, i.e., more than hundred, number of authors are included in the bibliography, The explanation of this phenomenon is that the conditions for an application of the basic success-breeds-success model are not fulfilled any more. Studying articles with many authors means dealing with items (the articles) having multiple sources (the authors), hence Egghe's generalized success-breeds-success model, leading to not necessarily decreasing distributions, explains the observed irregularities.|
|ISI #: ||000169032200003|
|Type: ||Journal Contribution|
|Appears in Collections: ||Research publications|
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