Power laws in the information production process

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 de...

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Bibliographic Details
Other Authors: Egghe, L.
Format: eBook
Language: English
Published: Bingley, U.K. : Emerald, 2005.
Series: Library and information science (New York, N.Y.) ; v. 5.
Subjects:
Bibliometrics.
Library statistics.
Information science > Statistical methods.
elektronické knihy
electronic books
ISBN: 9781849508025
Physical Description: 1 online zdroj (427 p.).

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Table of contents

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006 m d
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008 101115s2005 xxk sb 001 0 eng d
020 |a 9781849508025  |q (ebook) 
040 |a UtOrBLW  |c UtOrBLW  |b cze  |d ZLD002 
080 |a 519.23 
245 0 0 |a Power laws in the information production process  |h [elektronický zdroj] /  |c edited by Leo Egghe. 
260 |a Bingley, U.K. :  |b Emerald,  |c 2005. 
300 |a 1 online zdroj (427 p.). 
490 1 |a Library and information science,  |x 1876-0562 ;  |v v. 5 
504 |a Includes bibliographical references (p. 397-422) and index. 
505 0 |a 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. 
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 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). 
504 |a Obsahuje bibliografie 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
650 4 |a Bibliometrics. 
650 4 |a Library statistics. 
650 4 |a Information science  |x Statistical methods. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Egghe, L.  |q (Leo) 
776 1 |z 9780120887538 
830 0 |a Library and information science (New York, N.Y.) ;  |v v. 5. 
856 4 0 |u https://proxy.k.utb.cz/login?url=http://www.emeraldinsight.com/1876-0562/05  |y Plný text 
992 |a BK  |c EBOOK-TN  |c BME 
999 |c 70322  |d 70322 
993 |x NEPOSILAT  |y EIZ 

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