Kretschmer, H.; Rousseau, R.: Author inflation leads to a breakdown of Lotka's law : in and out of context (2001)
0.01
0.01343785 = sum of:
0.01092882 = product of:
0.08743056 = sum of:
0.08743056 = weight(_text_:authors in 5205) [ClassicSimilarity], result of:
0.08743056 = score(doc=5205,freq=6.0), product of:
0.16702999 = queryWeight, product of:
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.03663891 = queryNorm
0.52344227 = fieldWeight in 5205, product of:
2.4494898 = tf(freq=6.0), with freq of:
6.0 = termFreq=6.0
4.558814 = idf(docFreq=1258, maxDocs=44218)
0.046875 = fieldNorm(doc=5205)
0.125 = coord(1/8)
0.0025090303 = product of:
0.0050180606 = sum of:
0.0050180606 = weight(_text_:e in 5205) [ClassicSimilarity], result of:
0.0050180606 = score(doc=5205,freq=2.0), product of:
0.05266367 = queryWeight, product of:
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.03663891 = queryNorm
0.09528506 = fieldWeight in 5205, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
1.43737 = idf(docFreq=28552, maxDocs=44218)
0.046875 = fieldNorm(doc=5205)
0.5 = coord(1/2)
- Abstract
- Fractional counting of authors of multi-authored papers has been shown to lead to a breakdown of Lotka's Law despite its robust character under most circumstances. Kretschmer and Rousseau use the normal count method of full credit for each author on two five-year bibliographies from each of 13 Dutch physics institutes where high co-authorship is a common occurrence. Kolmogorov-Smirnov tests were preformed to see if the Lotka distribution fit the data. All bibliographies up to 40 authors fit acceptably; no bibliography with a paper with over 100 authors fits the distribution. The underlying traditional "success breeds success" mechanism assumes new items on a one by one basis, but Egghe's generalized model would still account for the process. It seems unlikely that Lotka's Law will hold in a high co-authorship environment.
- Language
- e
