Small worlds: the dynamics of networks between order and randomness
Small worlds: the dynamics of networks between order and randomness
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor
ADL '98 Proceedings of the Advances in Digital Libraries Conference
KeyGraph-based chance discovery for mobile contents management system
International Journal of Knowledge-based and Intelligent Engineering Systems - Chance discovery
Episodic memory for ubiquitous multimedia contents management system
IEA/AIE'07 Proceedings of the 20th international conference on Industrial, engineering, and other applications of applied intelligent systems
Integrating multiple document features in language models for expert finding
Knowledge and Information Systems
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Textual communication in message boards is analyzed for classifying Web communities. We present a communication-content based generalization of an existing business-oriented classification of Web communities, using KeyGraph, a method for visualizing the co-occurrence relations between words and word clusters in text. Here, the text in a message board is analyzed with KeyGraph, and the structure obtained is shown to reflect the essence of the content-flow. The relation of this content-flow with participants' interests is then formalized. Three structure-features of relations between participants and words, determining the type of the community, are shown to be computed and visualized: (1) centralization (2) context coherence and (3) creative decisions. This helps in surveying the essence of a community, e.g. whether the community creates useful knowledge, how easy it is to join the community, and whether/why the community is good for making commercial advertisement.