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.