Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32956
Title: MNav : a Markov model-bvased web site navigability measure
Authors: Zhou, Y
Leung, H 
Winoto, P
Keywords: Markov chain
Measure
Navigability
Navigation
Web design
Web sites
Issue Date: 2007
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on software engineering, 2007, v. 33, no. 12, p. 869-890 How to cite?
Journal: IEEE transactions on software engineering 
Abstract: Web site success is significantly associated with navigability, an important attribute of usability that denotes the ease with which users find desired information as they move through a website. Navigable websites allow users to form a mental model of the type and location of information in the website and an expectation of where and to what a particular hyperlink will lead. Existing navigability measures are based mainly on the static hyperlink structure of a website. Such measures, however, have two main drawbacks: 1) the effect on navigability of link structure cannot be well characterized; and 2) the effect on navigability of the navigation aids (such as the "Back" button provided by a browser) is ignored. In this paper, we abstract dynamic web surfing behavior as a Markov model and use this as the basis of a novel navigability measure, MNav. An empirical validation shows that MNav provides an effective and useful measurement of website navigability.
URI: http://hdl.handle.net/10397/32956
ISSN: 0098-5589
EISSN: 1939-3520
DOI: 10.1109/TSE.2007.70743
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