Author inflation leads to a breakdown of Lotka's law

被引:26
作者
Kretschmer, H
Rousseau, R
机构
[1] Free Univ Berlin, D-16540 Hohen Neuendorf, Germany
[2] KHBO, Dept Ind Sci & Technol, B-8400 Oostende, Belgium
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2001年 / 52卷 / 08期
关键词
D O I
10.1002/asi.1118.abs
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:610 / 614
页数:5
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