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Network visualisation as a way to the web usage analysis

Network visualisation as a way to the web usage analysis Purpose – The aim of this paper is to present network visualisation as a way to analyse and to test the design of a website. Design/methodology/approach – A network graph of the access to the webometrics.info site from its web logs was analysed. Several graphs (navigational and query graphs) with different added variables were explored. SNA indicators were used to extract the main findings of these networks. Findings – The results show the double structure of the two language versions, the central position of the search engines as hubs that distribute the access to every page, how the pages are grouped by their thematic and structural relationships, and which pages are less requested through search engines queries or are less visible. Research limitations/implications – The results are based on the web performance of only one website and therefore generalisation has to be cautious. Originality/value – The application of network visualisation and SNA indicators allows to explore the navigation of a website by users and to test how it is used. The graph representation makes possible an intuitive way to observe the structure of a website, the behaviour of users and information consumption. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Aslib Proceedings: New Information Perspectives Emerald Publishing

Network visualisation as a way to the web usage analysis

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References (58)

Publisher
Emerald Publishing
Copyright
Copyright © 2013 Emerald Group Publishing Limited. All rights reserved.
ISSN
0001-253X
DOI
10.1108/00012531311297177
Publisher site
See Article on Publisher Site

Abstract

Purpose – The aim of this paper is to present network visualisation as a way to analyse and to test the design of a website. Design/methodology/approach – A network graph of the access to the webometrics.info site from its web logs was analysed. Several graphs (navigational and query graphs) with different added variables were explored. SNA indicators were used to extract the main findings of these networks. Findings – The results show the double structure of the two language versions, the central position of the search engines as hubs that distribute the access to every page, how the pages are grouped by their thematic and structural relationships, and which pages are less requested through search engines queries or are less visible. Research limitations/implications – The results are based on the web performance of only one website and therefore generalisation has to be cautious. Originality/value – The application of network visualisation and SNA indicators allows to explore the navigation of a website by users and to test how it is used. The graph representation makes possible an intuitive way to observe the structure of a website, the behaviour of users and information consumption.

Journal

Aslib Proceedings: New Information PerspectivesEmerald Publishing

Published: Jan 1, 2013

Keywords: Web usage mining; Social network analysis; Information visualisation; Information consumption; Webometrics; Web sites; Web site design

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