Identifying aggregates in hypertext structures
HYPERTEXT '91 Proceedings of the third annual ACM conference on Hypertext
Yenta: a multi-agent, referral-based matchmaking system
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Syntactic clustering of the Web
Selected papers from the sixth international conference on World Wide Web
WebCutter: a system for dynamic and tailorable site mapping
Selected papers from the sixth international conference on World Wide Web
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
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
Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms
KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor
ADL '98 Proceedings of the Advances in Digital Libraries Conference
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Discovering new topics which cover new items, problems, and ideas (e.g., mobile phone, global warming, human genome project, etc) is truly profitable, important, and interesting for us. For instance, 1. Companies producing 'mobile phones' have made large profits by the great sales, 2. The awareness of 'global warming' has improved the environment of the earth by regulating exhaust emissions, 3. Fatal illnesses might be conquered by the human genome project. However, since we cannot completely decode the world surrounding us, we cannot know the topics and their mechanisms in advance. Considering this situation, these phenomena could be a big chance for our activities. In this paper, we describe our approach for discovering the future directions of communities on the web to detect chances.