Trawling the Web for emerging cyber-communities
WWW '99 Proceedings of the eighth international conference on World Wide Web
Partitioning of Web graphs by community topology
WWW '05 Proceedings of the 14th international conference on World Wide Web
ACM SIGKDD Explorations Newsletter
Proceedings of the 15th international conference on World Wide Web
Balancing Systematic and Flexible Exploration of Social Networks
IEEE Transactions on Visualization and Computer Graphics
Extraction and classification of dense communities in the web
Proceedings of the 16th international conference on World Wide Web
The web as a graph: measurements, models, and methods
COCOON'99 Proceedings of the 5th annual international conference on Computing and combinatorics
Web Site Description Based on Genres and Web Design Patterns
SOCINFO '09 Proceedings of the 2009 International Workshop on Social Informatics
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There are several large-scale entities that are related with each other. Web hyperlink networks, social networks and metabolic networks are the examples of such networks. Discovering dense subnetworks (communities) from given networks is important for detecting macroscopic and microscopic structures. Although many discovery methods are proposed, qualitative and quantitative differences among them are not fully discussed. As the first step for interactive analysis of network structures, the authors are developing a system for discovering and visualizing network communities. The system has abilities for divisive and agglomerative discovery of communities from given networks based on modularity.