Three partition refinement algorithms
SIAM Journal on Computing
Identifying aggregates in hypertext structures
HYPERTEXT '91 Proceedings of the third annual ACM conference on Hypertext
Structural analysis of hypertexts: identifying hierarchies and useful metrics
ACM Transactions on Information Systems (TOIS)
Visualizing the World-Wide Web with the navigational view builder
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Structuring and visualising the WWW by generalised similarity analysis
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Discovering typical structures of documents: a road map approach
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Visualizing and assessing navigation in hypertext
Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse roots
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Graphic and numerical methods to access navigation in hypertext
International Journal of Human-Computer Studies
Uniform comparison of data models using containment modeling
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia
Web Style Guide: Basic Design Principles for Creating Web Sites
Web Style Guide: Basic Design Principles for Creating Web Sites
The connectivity sonar: detecting site functionality by structural patterns
Proceedings of the fourteenth ACM conference on Hypertext and hypermedia
Structural analysis for web documentation using the non-well-founded set
Proceedings of the fifteenth ACM conference on Hypertext and hypermedia
Pattern detection from web using AFA set theory
Proceedings of the 9th annual ACM international workshop on Web information and data management
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In this paper, we propose a method for the structural analysis of Web sites.The Web has become one of the most widely used media for electronic information because of its great flexibility. However, this flexibility has led to complicated structures. A structure that differs from the typical structures in a Web site might confuse readers, thus reducing the effectiveness of the site. A method for detecting unusual structures would be useful for identifying such structures so that their impact can be studied and ways to improve Web site effectiveness developed.We viewed the Web as a directed graph, and introduced a higher-order rank based on the non-well-founded set theory. We then developed higher-order rank analysis for detecting irregularities, defined as structures which differ from the typical structure of a target site. To test the effectiveness of our method, we applied it to several Web sites in actual use, and succeeded in identifying irregular structures in the sites.