大葉大學圖書館 |

Power laws in the information production process[electronic resource] /

纪录类型:	书目-语言数据,印刷品 : Monograph/item
[NT 15000414] null:	020.21
[NT 47271] Title/Author:	Power laws in the information production process/ edited by Leo Egghe.
[NT 51406] other author:	Egghe, L.
出版者:	Bingley, U.K. : : Emerald,, 2005.
面页册数:	1 online resource (427 p.).
标题:	Business & Economics - Economics
标题:	Social Science - Sociology
标题:	Probability & statistics.
标题:	Bibliometrics.
标题:	Library statistics.
标题:	Information science - Statistical methods.
ISBN:	9781849508025 (electronic bk.)
[NT 15000227] null:	Includes bibliographical references (p. 397-422) and index.
[NT 15000228] null:	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.
[NT 15000229] null:	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 thatit 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 itsrelation 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 whichitems 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).
电子资源:	http://www.emeraldinsight.com/1876-0562/05

Power laws in the information production process[electronic resource] /
Power laws in the information production process[electronic resource] /edited by Leo Egghe. - Bingley, U.K. :Emerald,2005. - 1 online resource (427 p.). - Library and information science,v. 51876-0562 ;. - Library and information science (New York, N.Y.) ;v. 1..

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 thatit 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 itsrelation 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 whichitems 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).

ISBN: 9781849508025 (electronic bk.)Subjects--Topical Terms:

400459
Business & Economics
--Economics

LC Class. No.: Z669.8 / .P69 2005

Dewey Class. No.: 020.21

Power laws in the information production process[electronic resource] /
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520 $a 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 thatit 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 itsrelation 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 whichitems 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).
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