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ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
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FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
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ISPA'05 Proceedings of the Third international conference on Parallel and Distributed Processing and Applications
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WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
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Data-sharing scientific collaborations have particular characteristics, potentially different from the current peer-to-peer environments. In this paper we advocate the benefits of exploiting emergent patterns in self-configuring networks specialized for scientific data-sharing collaborations. We speculate that a peer-to-peer scientific collaboration network will exhibit small-world topology, as do a large number of social networks for which the same pattern has been documented. We propose a solution for locating data in decentralized, scientific, data-sharing environments that exploits the small-worlds topology. The research challenge we raise is: what protocols should be used to allow a self-configuring peer-to-peer network to form small worlds similar to the way in which the humans that use the network do in their social interactions?