ABS: Katz, Self-similar science system

[Gretchen Whitney]

The self-similar science system
Katz JS
RESEARCH POLICY
28: (5) 501-517 JUN 1999

Document type: Article
Language: English
Cited References: 31
Times Cited: 0


Abstract: A system with a self-similar property is scale-independent and
statistically exhibits that property at all levels of observation. In
addition, a power law describes the distribution of a scale-independent
property. Many investigators have observed social activities and
structures, particularly in the science system, that are best described by
a power-law distribution. However, unlike classical physical power laws
that are used in the design of complex technical systems, social power
laws are not used to develop social policy. Using the science system as a
model social system and peer-reviewed publications and citations to these
papers as the data source we will demonstrate the existence of two power
law distributions that are then used to predict the existence of two
additional power laws. In fact, it will be shown that in four UK sectoral,
six OECD national, a regional and the world science systems the Matthew
effect can be described by a power-law relationship between publishing
size (papers) and recognition (citations). The exponent of this power law
is 1.27 +/- 0.03, it is constant over time and relatively independent of
system size and nationality. The policy implications of these robust
self-similar social properties as well as the need to develop
scale-independent policy are discussed. (C) 1999 Elsevier Science B.V. All
rights reserved.

Author Keywords:
self-similar, power law, scale-independent

KeyWords Plus:
STATIONARY SCIENTOMETRIC DISTRIBUTIONS, LAW

Addresses:
Katz JS, Univ Sussex, Brighton BN1 9RF, E Sussex, England.
Univ Sussex, Brighton BN1 9RF, E Sussex, England.

Publisher:
ELSEVIER SCIENCE BV, AMSTERDAM

IDS Number:
209HJ

ISSN:
0048-7333


c. ISI Inc, Reprinted with permission.
Please visit their website at www.isinet.com

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Gretchen Whitney, PhD                                     tel 423.974.7919
School of Information Sciences                            fax 423.974.4967
University of Tennessee, Knoxville TN 37996 USA           gwhitney at utk.edu
http://web.utk.edu/~gwhitney/
jESSE:http://web.utk.edu/~gwhitney/jesse.html
SIGMETRICS:http://web.utk.edu/~gwhitney/sigmetrics.html
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