Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13127
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dc.contributor.authorEGGHE, Leo-
dc.date.accessioned2012-02-07T15:23:19Z-
dc.date.available2012-02-07T15:23:19Z-
dc.date.issued2013-
dc.identifier.citationINFORMATION PROCESSING & MANAGEMENT, 49(1), p. 99-107.-
dc.identifier.issn0306-4573-
dc.identifier.urihttp://hdl.handle.net/1942/13127-
dc.description.abstractSupposing that the number of sources and the number of items in sources grow in time according to power laws, we present explicit formulae for the size- and rank-frequency functions in such systems. Size-frequency functions can decrease or increase while rank-frequency functions only decrease. The latter can be convex, concave, S-shaped (first convex, then concave) or reverse S-shaped (first concave, then convex). We also prove that, in such systems, Heaps’ law on the relation between the number of sources and items is valid.-
dc.language.isoen-
dc.subject.otherPower law growth; Rank-frequency function; Size-frequency function; Heaps’ law-
dc.titleStudy of the rank- and size-frequency functions in case of power law growth of sources and items and proof of Heaps' law-
dc.typeJournal Contribution-
dc.identifier.epage107-
dc.identifier.issue1-
dc.identifier.spage99-
dc.identifier.volume49-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1016/j.ipm.2012.02.004-
dc.identifier.isi000313466600007-
item.fullcitationEGGHE, Leo (2013) Study of the rank- and size-frequency functions in case of power law growth of sources and items and proof of Heaps' law. In: INFORMATION PROCESSING & MANAGEMENT, 49(1), p. 99-107..-
item.validationecoom 2014-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.contributorEGGHE, Leo-
crisitem.journal.issn0306-4573-
crisitem.journal.eissn1873-5371-
Appears in Collections:Research publications
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