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
The Small-World Phenomenon: An Algorithmic Perspective
The Small-World Phenomenon: An Algorithmic Perspective
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Featuring web communities based on word co-occurrence structure of communications: 736
Proceedings of the 11th international conference on World Wide Web
Chance discoveries for making decisions in complex real world
New Generation Computing
Proceedings of the Joint JSAI 2001 Workshop on New Frontiers in Artificial Intelligence
First international workshop on chance discovery
The Knowledge Engineering Review
Automatic text summarization and small-world networks
Proceedings of the 11th ACM symposium on Document engineering
Semantic analysis and classification method for customer enquiries in telecommunication services
Engineering Applications of Artificial Intelligence
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A document is represented by a network; the nodes represent terms, and the edges represent the co-occurrence of terms. This paper shows that the network has the characteristics of being small world, i.e., highly clustered and short path length. Based on the topology, we can extract important terms, even if they are rare, by measuring their contribution to the graph being small world.