Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/7410
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dc.contributor.authorROUSSEAU, Ronald-
dc.contributor.authorKretschmer, Hildrun-
dc.date.accessioned2007-12-20T16:15:56Z-
dc.date.available2007-12-20T16:15:56Z-
dc.date.issued2001-
dc.identifier.citationJournal of the American Society for Information Science and Technology, 52(8). p. 610-614-
dc.identifier.issn1532-2882-
dc.identifier.urihttp://hdl.handle.net/1942/7410-
dc.description.abstractIt 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.-
dc.language.isoen-
dc.publisherJOHN WILEY & SONS INC-
dc.subject.otherINFORMETRIC DISTRIBUTIONS; SCIENTIFIC COLLABORATION; PRODUCTIVITY; ATTRIBUTION; COUNTS-
dc.titleAuthor inflation leads to a breakdown of Lotka's law-
dc.typeJournal Contribution-
dc.identifier.epage614-
dc.identifier.issue8-
dc.identifier.spage610-
dc.identifier.volume52-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1002/asi.1118.abs-
dc.identifier.isi000169032200003-
item.fullcitationROUSSEAU, Ronald & Kretschmer, Hildrun (2001) Author inflation leads to a breakdown of Lotka's law. In: Journal of the American Society for Information Science and Technology, 52(8). p. 610-614.-
item.accessRightsClosed Access-
item.contributorROUSSEAU, Ronald-
item.contributorKretschmer, Hildrun-
item.fulltextNo Fulltext-
crisitem.journal.issn1532-2882-
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