LEADER 04470nam  2200781Ka 450 
001 9910671319203321
005 20220915135102.0
010   $a1-281-00809-5
010   $a9786611008093
010   $a1-4237-0928-4
010   $a1-84950-802-X
010   $a0-08-048011-X
035   $a(CKB)1000000000364660
035   $a(EBL)293506
035   $a(OCoLC)469446767
035   $a(SSID)ssj0000225294
035   $a(PQKBManifestationID)11202121
035   $a(PQKBTitleCode)TC0000225294
035   $a(PQKBWorkID)10229777
035   $a(PQKB)10244618
035   $a(MiAaPQ)EBC293506
035   $a(MiAaPQ)EBC648842
035   $a(Au-PeEL)EBL648842
035   $a(OCoLC)701704689
035   $a(UtOrBLW)bslw06339388
035   $a(EXLCZ)991000000000364660
100   $a20101115d2005      uy             0
101 0 $aeng
135   $aurun|||||||||
181   $ctxt
182   $cc
183   $acr
200 00$aPower laws in the information production process$b[recurso electrónico] /$fedited by Leo Egghe
210   $aAmsterdam ;$aNew York $cElsevier/Academic Press$d2005
215   $a1 online resource (447 p.)
225 1 $aLibrary and information science,$x1876-0562 ;$vv. 5
300   $aDescription based upon print version of record.
311 1 $a1-281-00809-5 
311 1 $a9786611008093 
311 1 $a1-4237-0928-4 
311 1 $a9780120887538 
311 1 $a1-84950-802-X 
311 1 $a0-08-048011-X 
311 1 $a0-12-088753-3 
320   $aIncludes bibliographical references (p. 397-422) and index.
327   $aBasic theory of Lotkaian informetrics / Leo Egghe -- Three-dimensional Lotkaian informetrics / Leo Egghe -- Lotkaian concentration theory / Leo Egghe -- Lotkaian fractal complexity theory / Leo Egghe -- Lotkaian informetrics of systems in which items can have multiple sources / Leo Egghe -- Further applications in Lotkaian informetrics / Leo Egghe -- Lotkaian informetrics : an introduction / Leo Egghe.
330   $aThis book describes informetric results from the point of view of Lotkaian size-frequency functions, i.e. functions that are decreasing power laws. Explanations and examples of this model are given showing that it is the most important regularity amongst other possible models. This theory is then developed in the framework of IPPs (Information Production Processes) hereby also indicating its relation with e.g. the law of Zipf.Applications are given in the following fields: three-dimensional informetrics (positive reinforcement and Type/Token-Taken informetrics), concentration theory (including the description of Lorenz curves and concentration measures in Lotkaian informetrics), fractal complexity theory (Lotkaian informetrics as self-similar fractals), Lotkaian informetrics in which items can have multiple sources (where fractional size-frequency functions are constructed), the theory of first-citation distributions and the N-fold Cartesian product of IPPs (describing frequency functions for N-grams and N-word phrases).In the Appendix, methods are given to determine the parameters in the law of Lotka, based on a set of discrete data. The book explains numerous informetric regularities, only based on a decreasing power law as size-frequency function, i.e. Lotka's law. It revives the historical formulation of Alfred Lotka of 1926 and shows the power of this power law, both in classical aspects of informetrics (libraries, bibliographies) as well as in 'new' applications such as social networks (citation or collaboration networks and the Internet).
410  0$aLibrary and information science (New York, N.Y.) ;$vv. 5.
606   $aBusiness & Economics$xEconomics$xGeneral$2bisacsh
606   $aSocial Science$xSociology$xGeneral$2bisacsh
606   $aProbability & statistics$2bicssc
606   $aBibliometrics
606   $aLibrary statistics
606   $aInformation science$xStatistical methods
615  7$aBusiness & Economics$xEconomics$xGeneral.
615  7$aSocial Science$xSociology$xGeneral.
615  7$aProbability & statistics.
615  0$aBibliometrics.
615  0$aLibrary statistics.
615  0$aInformation science$xStatistical methods.
676   $a519.5
701   $aEgghe$b L$g(Leo)$057334
801  0$bUtOrBLW
801  1$bUtOrBLW
906   $aBOOK
912   $a9910671319203321
996   $aPower laws in the information production process$93050160
997   $aUNINA