Elements of information theory
Elements of information theory
A case for associative peer to peer overlays
ACM SIGCOMM Computer Communication Review
Remindin': semantic query routing in peer-to-peer networks based on social metaphors
Proceedings of the 13th international conference on World Wide Web
Efficient search in unstructured peer-to-peer networks
Proceedings of the sixteenth annual ACM symposium on Parallelism in algorithms and architectures
PROSA: P2P Resource Organisation by Social Acquaintances
Agents and Peer-to-Peer Computing
Limited Scale-Free Overlay Topologies for Unstructured Peer-to-Peer Networks
IEEE Transactions on Parallel and Distributed Systems
Searching dynamic communities with personal indexes
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
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The study of emerged community structures is an important challenge in networks analysis. In fact, several methods have been proposed in the literature to statistically determine the signification of discovered structures. Nevertheless, most of existing analysis models consider only the structural aspect of emerged communities. In our study, we give interest to robustness study of emerged communities in resource exchange networks. More precisely, we consider the emerged communities in the induced graph by all the exchanges in these networks. Hence, rather than examining the robustness only on the structural properties of the graph, we give focus to the parameters that allow the emergence of community structures. In fact, perturbing these parameters might destroy most of the obtained properties at the emerged level. To the best of our knowledge, robustness of networks has never been considered from this angle before. In this paper, we study the impact of perturbing the content, the interest and the profile of nodes on the emerged social communities in resource exchange networks. We show how these alterations affect both structure and information supported by the emerged structures.