Payne N, Thelwall M "Mathematical models for academic webs: Linear relationship or non-linear power law?" INFORMATION PROCESSING & MANAGEMENT 41 (6): 1495-1510 DEC 2005

[Eugene Garfield]

E-mail Addresses: n.c.payne at wlv.ac.uk, m.thelwall at wlv.ac.uk

Title: Mathematical models for academic webs: Linear relationship or non-
linear power law?

Author(s): Payne N, Thelwall M

Source: INFORMATION PROCESSING & MANAGEMENT 41 (6): 1495-1510 DEC 2005

Document Type: Article    Language: English
Cited References: 65      Times Cited: 0

Abstract:
Previous studies of academic web interlinking have tended to hypothesise
that the relationship between the research of a university and links to or
from its web site should follow a linear trend, yet the typical
distribution of web data, in general, seems to be a non-linear power law.
This paper assesses whether a linear trend or a power law is the most
appropriate method with which to model the relationship between research
and web site size or outlinks. Following linear regression, analysis of the
confidence intervals for the logarithmic graphs, and analysis of the
outliers, the results suggest that a linear trend is more appropriate than
a non-linear power law. (c) 2005 Elsevier Ltd. All rights reserved.
Author Keywords: web links; academic webs; linking models; linear relation;
non-linear power law


Addresses: Payne N (reprint author), Wolverhampton Univ, Sch Comp &
Informat Technol, 35-49 Lichfield St, Wolverhampton, WV1 1EQ England
Wolverhampton Univ, Sch Comp & Informat Technol, Wolverhampton, WV1 1EQ
England

E-mail Addresses: n.c.payne at wlv.ac.uk, m.thelwall at wlv.ac.uk

Publisher: PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE,
KIDLINGTON, OXFORD OX5 1GB, ENGLAND


IDS Number: 956XE

ISSN: 0306-4573


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