Inferring Web communities from link topology
Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space---structure in hypermedia systems: links, objects, time and space---structure in hypermedia systems
Improved algorithms for topic distillation in a hyperlinked environment
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Web usage mining for Web site evaluation
Communications of the ACM
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
The stochastic approach for link-structure analysis (SALSA) and the TKC effect
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
ACM SIGKDD Explorations Newsletter
Mining the World Wide Web: an information search approach
Mining the World Wide Web: an information search approach
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
The web as a graph: measurements, models, and methods
COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
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This chapter presents an overview of web mining. The three areas of web mining--Web content mining, Web usage mining, and Web structure mining--are identified. In this chapter specific attention is paid to Web structure mining, which is the study of the link topology. The link topology of the Web is analyzed in the context of a cyber-community in order to explore the connection between the link topology and conferral of authority. Millions, soon to be billions, of people are annotating Web documents, which results in an abundance of information. Herein lies the problem: topic distillation--searching through the sea of documents for relevant information. To address the problem of overabundance and relevancy, models are needed that can assist in creating order at the local level. The hub and spoke model identified in this chapter takes a proactive approach to creating an online community in a centralized or planned fashion and provides control over the architecture of the Web graph. In the end users can be assured with a certain level of confidence that the Web content contained in a hyperlinked community is both accurate and relevant.