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005			20210303085346.0
006			m d
007			cr un|||||||||
008			101115s2005 enk ob 001 0 eng d
020			_a9781849508025 (electronic bk.) : _c£77.95 ; €109.95 ; $134.95
040			_aUtOrBLW _cUtOrBLW
050		4	_aZ669.8 _b.P69 2005
072		7	_aPBT _2bicssc
072		7	_aMAT _2bicssc
072		7	_aBUS069000 _2bisacsh
072		7	_aSOC026000 _2bisacsh
080			_a519.23
082	0	4	_a020 _222
245	0	0	_aPower laws in the information production process _h[electronic resource] / _cedited by Leo Egghe.
260			_aBingley, U.K. : _bEmerald, _c2005.
300			_a1 online resource (427 p.).
490	1		_aLibrary and information science, _x1876-0562 ; _vv. 5
504			_aIncludes bibliographical references (p. 397-422) and index.
505	0		_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.
520			_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).
588	0		_aPrint version record
650		7	_aBusiness & Economics _xEconomics _xGeneral. _2bisacsh
650		7	_aSocial Science _xSociology _xGeneral. _2bisacsh
650		7	_aProbability & statistics. _2bicssc
650		0	_aBibliometrics.
650		0	_aLibrary statistics.
650		0	_aInformation science _xStatistical methods.
700	1		_aEgghe, L. _q(Leo)
776	1		_z9780120887538
830		0	_aLibrary and information science (New York, N.Y.) ; _vv. 5.
856	4	0	_uhttps://www.emerald.com/insight/publication/doi/10.1108/S1876-0562(2005)05
913			_1BMEbacklist
999			_c31765 _d31765