Web Graph Clustering for Displays and Navigation of Cyberspace

Web Graph Clustering for Displays and Navigation of Cyberspace

Xiaodi Huang (The University of Southern Queensland, Australia) and Wei Lai (Swinburne University of Technology, Australia)
Copyright: © 2005 |Pages: 23
DOI: 10.4018/978-1-59140-414-9.ch012
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Abstract

This chapter presents a new approach to clustering graphs, and applies it to Web graph display and navigation. The proposed approach takes advantage of the linkage patterns of graphs, and utilizes an affinity function in conjunction with the k-nearest neighbor. This chapter uses Web graph clustering as an illustrative example, and offers a potentially more applicable method to mine structural information from data sets, with the hope of informing readers of another aspect of data mining and its applications.

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