Publication
Title
General evolutionary theory of information production processes and applications to the evolution of networks
Author
Abstract
Evolution of information production processes (IPPs) can be described by a general transformation function for the sources and for the items. It generalises the FellmanJakobsson transformation which only works on the items. In this paper the dual informetric theory of this double transformation, defined by the rank-frequency function, is described by, e.g. determining the new size-frequency function. The special case of power law transformations is studied thereby showing that a Lotkaian system is transformed into another Lotkaian system, described by a new Lotka exponent. We prove that the new exponent is smaller (larger) than the original one if and only if the change in the sources is smaller (larger) than that of the items. Applications to the study of the evolution of networks are given, including cases of deletion of nodes and/or links but also applications to other fields are given.
Language
English
Source (journal)
Journal of informetrics. - Amsterdam
Publication
Amsterdam : 2007
ISSN
1751-1577
Volume/pages
1:2(2007), p. 115-122
ISI
000253644900002
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 01.03.2011
Last edited 19.09.2017
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