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 - small-world, clustering, community structure, assortative mixing, preferential attachment and small and stable groups - in order to obtain better performance, efficient use of resources and system resilience.
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