SETS: search enhanced by topic segmentation
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Making Search Efficient on Gnutella-Like P2P Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
A Longitudinal Study of P2P Traffic Classification
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
Comparing clusterings---an information based distance
Journal of Multivariate Analysis
Identifying and discriminating between web and peer-to-peer traffic in the network core
Proceedings of the 16th international conference on World Wide Web
Social Behaviours in P2P Systems: An Efficient Algorithm for Resource Organisation
WETICE '06 Proceedings of the 15th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
Graph clustering with network structure indices
Proceedings of the 24th international conference on Machine learning
Semantic partitioning of peer-to-peer search space
Computer Communications
Exploiting semantic proximities for content search over p2p networks
Computer Communications
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The social networks and the study of communities of interest became an actual challenge in several research areas. Community detection techniques have found a large number of practical applications as a method to simplify networks since the number of clusters is often much smaller than the number of nodes. In this paper, we study two aspects. In the first part, we focus on the induced social interactions by the communication between the individuals (peers) of a network in order to extract properties of the resultant community structures. Plenty of communication protocols were defined to allow and improve the data exchange between the different peers of the network [13][19][18]. The second part of our work concerns the study of the robustness of emerging communities.