Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A scalable content-addressable network
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Chord: a scalable peer-to-peer lookup protocol for internet applications
IEEE/ACM Transactions on Networking (TON)
The chatty web: emergent semantics through gossiping
WWW '03 Proceedings of the 12th international conference on World Wide Web
Super-peer-based routing and clustering strategies for RDF-based peer-to-peer networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
Piazza: data management infrastructure for semantic web applications
WWW '03 Proceedings of the 12th international conference on World Wide Web
SETS: search enhanced by topic segmentation
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Making gnutella-like P2P systems scalable
Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Efficient, Proximity-Aware Load Balancing for Structured P2P Systems
P2P '03 Proceedings of the 3rd International Conference on Peer-to-Peer Computing
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Exploiting Semantic Proximity in Peer-to-Peer Content Searching
FTDCS '04 Proceedings of the 10th IEEE International Workshop on Future Trends of Distributed Computing Systems
A survey of peer-to-peer content distribution technologies
ACM Computing Surveys (CSUR)
Expressive and Efficient Peer-to-Peer Queries
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences - Volume 09
An LDAP-based User Modeling Server and its Evaluation
User Modeling and User-Adapted Interaction
A Longitudinal Study of P2P Traffic Classification
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
P2P '06 Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing
SIL: a model for analyzing scalable peer-to-peer search networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Large Scaling Unstructured Peer-to-Peer Networks with Heterogeneity-Aware Topology and Routing
IEEE Transactions on Parallel and Distributed Systems
Optimizing random walk search algorithms in P2P networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Survey of research towards robust peer-to-peer networks: search methods
Computer Networks: The International Journal of Computer and Telecommunications Networking
Information retrieval in schema-based P2P systems using one-dimensional semantic space
Computer Networks: The International Journal of Computer and Telecommunications Networking
Information integration in schema-based peer-to-peer networks
CAiSE'03 Proceedings of the 15th international conference on Advanced information systems engineering
Tapestry: a resilient global-scale overlay for service deployment
IEEE Journal on Selected Areas in Communications
Robustness of emerged community in social network
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Network-aware summarisation for resource discovery in P2P-content networks
Future Generation Computer Systems
A Bayesian approach for user aware peer-to-peer video streaming systems
Image Communication
Performance Analysis and Improvement Content Discovery Protocols Over Vehicular Networks
Wireless Personal Communications: An International Journal
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In this paper, we address the issue of content search over peer-to peer networks. We use the concept of semantic proximity that exploits the commonalities of interests exhibited among peer users so as to decompose the network into semantic clusters. We initially define search entropy, as a metric indicating the average number of packets required to locate the requested content. Then, spectral clustering is used to organize the peer nodes into semantic clusters so that (a) the probability that a node locates content within its own cluster is maximized, while simultaneously; (b) the respective probability of finding this content outside this cluster is minimized. The proposed semantic partitioning algorithm is then extended into a hierarchical two-tier scheme, in which practical issues arising for the deployment of a peer-to-peer (p2p) application can be more easily addressed. After the system has been initialized, a dynamic algorithm places new users that join the p2p network into appropriately selected clusters and also handles peer departures without the need for matrix eigen decomposition process which is necessary for the assessment of the initial static partitioning. Our experimental results validate that (a) our static partitioning outperforms traditional and novel search techniques and (b) our dynamic algorithm is able to efficiently track the system's progression maintaining the search entropy close to the initially assessed levels.