WeBeVis: Analyzing user web behavior through visual metaphors

Huang, W; Khoury, R; Dawborn, T; Huang, B; Huang, M; Huang, X

WeBeVis: Analyzing user web behavior through visual metaphors

Huang, W

Khoury, R Dawborn, T Huang, B Huang, M

Huang, X

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Publication Type:: Journal Article
Citation:: Science China Information Sciences, 2013, 56 (5), pp. 1 - 15
Issue Date:: 2013-05-01

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Field	Value	Language
dc.contributor.author	Huang, W https://orcid.org/0000-0002-5190-7839	en_US
dc.contributor.author	Khoury, R	en_US
dc.contributor.author	Dawborn, T	en_US
dc.contributor.author	Huang, B	en_US
dc.contributor.author	Huang, M https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0002-6084-1851	en_US
dc.date.issued	2013-05-01	en_US
dc.identifier.citation	Science China Information Sciences, 2013, 56 (5), pp. 1 - 15	en_US
dc.identifier.issn	1674-733X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23987
dc.description.abstract	The rapid growth of Internet usage has dramatically changed the way we interact with the outside world. Many people read news, communicate with friends and purchase goods online. These activities are usually done via web browsing, and web browsers record information about these activities. The recorded data can be used to understand web browsing behavior of users and improve their browsing experience. For example, website usability and the personalization of online services could both benefit from knowledge of user browsing behavior. A number of methods including data mining, text processing and visualization have been used to uncover user browsing patterns. However, these methods are mainly used to analyze and gain insights into collective behavior patterns of either a large amount of separate web users or users within an online community over a prolonged period of time. Very few systems are available for analyzing the detailed behavior of a single user within a relatively short and specific period of time. In an attempt to shorten this gap, we have developed a visual analytic system called WeBeVis. This system offers three different ways of visualizing web browsing data based on our proposed visual metaphors. It also provides a common interface for users to interact with the visualizations. In this paper, we describe this system and present a user study of it. We show that by visualizing the web browsing history of a user, we are able to uncover interesting patterns in the way that individuals use the web. © 2013 Science China Press and Springer-Verlag Berlin Heidelberg.	en_US
dc.relation.ispartof	Science China Information Sciences	en_US
dc.relation.isbasedon	10.1007/s11432-013-4869-7	en_US
dc.subject.classification	Software Engineering	en_US
dc.title	WeBeVis: Analyzing user web behavior through visual metaphors	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	56	en_US
utslib.for	080499 Data Format not elsewhere classified	en_US
utslib.for	0804 Data Format	en_US
utslib.for	0806 Information Systems	en_US
utslib.for	0899 Other Information and Computing Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Chemistry and Forensic Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Transdisciplinary Innovation
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	56	en_US

Abstract:

The rapid growth of Internet usage has dramatically changed the way we interact with the outside world. Many people read news, communicate with friends and purchase goods online. These activities are usually done via web browsing, and web browsers record information about these activities. The recorded data can be used to understand web browsing behavior of users and improve their browsing experience. For example, website usability and the personalization of online services could both benefit from knowledge of user browsing behavior. A number of methods including data mining, text processing and visualization have been used to uncover user browsing patterns. However, these methods are mainly used to analyze and gain insights into collective behavior patterns of either a large amount of separate web users or users within an online community over a prolonged period of time. Very few systems are available for analyzing the detailed behavior of a single user within a relatively short and specific period of time. In an attempt to shorten this gap, we have developed a visual analytic system called WeBeVis. This system offers three different ways of visualizing web browsing data based on our proposed visual metaphors. It also provides a common interface for users to interact with the visualizations. In this paper, we describe this system and present a user study of it. We show that by visualizing the web browsing history of a user, we are able to uncover interesting patterns in the way that individuals use the web. © 2013 Science China Press and Springer-Verlag Berlin Heidelberg.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/23987