Emerging structures of P2P networks induced by social relationships
Computer Communications
Adaptive E---Learning: An Architecture Based on PROSA P2P Network
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Robustness of emerged community in social network
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Efficient searching and retrieval of documents in PROSA
DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
Modeling random walk search algorithms in unstructured P2P networks with social information
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Exploiting social networks dynamics for p2p resource organisation
ISCIS'06 Proceedings of the 21st international conference on Computer and Information Sciences
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P2P systems are a great solution to the problem of distributing resources. The main issue of P2P networks is that searching and retrieving resources shared by peers is usually expensive and does not take into account similarities among peers. In this paper we present preliminary simulations of PROSA , a novel algorithm for P2P network structuring, inspired by social behaviours. Peers in PROSA self-organise in social groups of similar peers, called "semantic-groups", depending on the resources they are sharing. Such a network smoothly evolves to a small- world graph, where queries for resources are efficiently and effectively routed.