Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques.

Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. 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.

ALS
Content
DOM
Origin
Web
Web Clustering
Web Data Management
Web Search
Web Usage Mining
WebP
organization
search engine marketing (SEM)

• Front Matter
• Introduction
• Preliminaries
• HITS and Related Algorithms
• PageRank Related Algorithms
• Affinity and Co-Citation Analysis Approaches
• Building a Web Community
• Web Community Related Techniques
• Conclusions
• Back Matter

School of Computer Science and Mathematics, Victoria University of Technology, Melbourne City, Australia
Yanchun Zhang

Dept. of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
Jeffrey Xu Yu

School of Information Technology, Deakin University, Burwood, Australia
Jingyu Hou

Book Title
Web Communities

Book Subtitle
Analysis and Construction

Authors
Yanchun Zhang, Jeffrey Xu Yu, Jingyu Hou

DOI
https://doi.org/10.1007/3-540-27739-0

Hardcover ISBN
978-3-540-27737-8
Published: 08 December 2005

Softcover ISBN
978-3-642-06611-5
Published: 12 February 2010

eBook ISBN
978-3-540-27739-2
Published: 28 March 2006

Edition Number
1

Number of Pages
XI, 187

Topics
Computer Engineering, Information Systems Applications (incl. Internet), Information Storage and Retrieval, User Interfaces and Human Computer Interaction, e-Commerce/e-business