A hypertext metric based on huffman coding

Authors:
Chris Coulston;Theresa M. Vitolo
Affiliations:
Electrical and Computer Engineering, Penn State Erie;Computer and Information Science, Gannon University, Erie, PA
Venue:
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Year:
2001

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Abstract

Current research has established a relationship between user navigation behavior and outcome measures. This paper presents a metric designed to compare the depth of user navigation against a theoretically optimum behavior; measured using Huffman codes. The application of the metric to an example problem is presented.