Yanchun Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications. Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations
1 Introduction -- 2 Preliminaries -- 3 HITS and related algorithms -- 4 PageRank related algorithms -- 5 Affinity and co-citation analysis approaches -- 6 Building a Web community -- 7 Web community related techniques -- 8 Conclusions.
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