New paper published in Cybermetrics

[Isidro F. Aguillo]

A Statistical Analysis of UK Academic Web Links

Nigel Payne mailto:n.c.payne at wlv.ac.uk
Mike Thelwall
School of Computing and Information Technology, University of Wolverhampton,
35/49 Lichfield Street Wolverhampton. WV1 1EQ, UK

Cybermetrics,2004, 8(1): Paper 2

http://www.cindoc.csic.es/cybermetrics/articles/v8i1p2.html

Abstract

The analysis of web-based documents using quantitative techniques is a
well-established area of research within the realm of information
science. This paper builds on some of that work and presents the results
of statistical analysis carried out on the web link structure text files
of 111 UK universities. Summary statistics are produced using
Alternative Document Models and the results of the statistical analysis
are also graphically displayed, including trendline equations.
Mathematical linear relationships were observed between certain
bivariate data with subsequent Pearson correlation analysis revealing a
number of very strong correlation relationships, particularly between
site size and number of source / target directories and pages. This
seems to support previous research by suggesting that the directory
Alternative Document Model has some advantages over the domain
Alternative Document Model.

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Isidro F. Aguillo
isidro at cindoc.csic.es

Laboratorio de Internet. CINDOC-CSIC
Joaquin Costa, 22
28002 Madrid. SPAIN

http://www.cindoc.csic.es/cybermetrics
http://www.webindicators.org
http://www.eicstes.org
http://internetlab.cindoc.csic.es
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