04470nam 2200781Ka 450 991067131920332120220915135102.01-281-00809-597866110080931-4237-0928-41-84950-802-X0-08-048011-X(CKB)1000000000364660(EBL)293506(OCoLC)469446767(SSID)ssj0000225294(PQKBManifestationID)11202121(PQKBTitleCode)TC0000225294(PQKBWorkID)10229777(PQKB)10244618(MiAaPQ)EBC293506(MiAaPQ)EBC648842(Au-PeEL)EBL648842(OCoLC)701704689(UtOrBLW)bslw06339388(EXLCZ)99100000000036466020101115d2005 uy 0engurun|||||||||txtccrPower laws in the information production process[recurso electrónico] /edited by Leo EggheAmsterdam ;New York Elsevier/Academic Press20051 online resource (447 p.)Library and information science,1876-0562 ;v. 5Description based upon print version of record.1-281-00809-5 9786611008093 1-4237-0928-4 9780120887538 1-84950-802-X 0-08-048011-X 0-12-088753-3 Includes bibliographical references (p. 397-422) and index.Basic 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.This 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).Library and information science (New York, N.Y.) ;v. 5.Business & EconomicsEconomicsGeneralbisacshSocial ScienceSociologyGeneralbisacshProbability & statisticsbicsscBibliometricsLibrary statisticsInformation scienceStatistical methodsBusiness & EconomicsEconomicsGeneral.Social ScienceSociologyGeneral.Probability & statistics.Bibliometrics.Library statistics.Information scienceStatistical methods.519.5Egghe L(Leo)57334UtOrBLWUtOrBLWBOOK9910671319203321Power laws in the information production process3050160UNINA