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
Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Efficient identification of Web communities
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Stochastic models for the Web graph
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Consensus algorithms for the generation of all maximal bicliques
Discrete Applied Mathematics - The fourth international colloquium on graphs and optimisation (GO-IV)
Partitioning of Web graphs by community topology
WWW '05 Proceedings of the 14th international conference on World Wide Web
Identifying link farm spam pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
The indexable web is more than 11.5 billion pages
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Graph Theory With Applications
Graph Theory With Applications
The web as a graph: measurements, models, and methods
COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
Linear-time enumeration of isolated cliques
ESA'05 Proceedings of the 13th annual European conference on Algorithms
Contracted webgraphs: structure mining and scale-freeness
FAW-AAIM'11 Proceedings of the 5th joint international frontiers in algorithmics, and 7th international conference on Algorithmic aspects in information and management
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The link structure of the Web is generally viewed as the webgraph. Web structure mining is a research area that mainly aims to find hidden communities by focusing on the webgraph, and communities or their cores are supposed to constitute dense subgraphs. Therefore, structure mining can actually be realized by enumerating such substructures, and Kleinberg's biclique model is well-known among them. In this paper, we examine some candidate substructures, including conventional bicliques, and attempt to find useful information from the real web data. Especially, we newly exploit isolated cliques for our experiments of structure mining. As a result, we discovered that isolated cliques that lie over multiple domains can stand for useful communities, which implies the validity of isolated clique as a candidate substructure for structure mining. On the other hand, we also observed that most of isolated cliques on the Web correspond to menu structures and are inherent in single domains, and that isolated cliques can be quite useful for detecting harmful link farms.