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P2P networks are often associated with file exchange applications among private users. However, their features make them suitable for other uses. In this paper we present a P2P architecture for Scientific Collaboration Networks, which takes advantage of the properties inherent in these social networks -smallworld, clustering, community structure, assortative mixing, preferential attachment and small and stable groups-in order to obtain better performance, efficient use of resources and systemdoi:10.1109/enabl.2004.48 dblp:conf/wetice/MitreN04 fatcat:une4rhlnvngthfqzupmc72m42m