A social network Peer-to-Peer model for peer clustering
Peer clustering is a way for managing the structure of Peer-to-Peer (P2P) networks. It can be done on physical structure of the network like physical proximity of peers or semantic relationship among them. Our proposed model uses social network concepts as the main physical structure for clustering...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/47790/ http://psasir.upm.edu.my/id/eprint/47790/1/A%20social%20network%20Peer-to-Peer%20model%20for%20peer%20clustering.pdf |
| _version_ | 1848850906217447424 |
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| author | Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati |
| author_facet | Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati |
| author_sort | Modarresi, Amir |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Peer clustering is a way for managing the structure of Peer-to-Peer (P2P) networks. It can be done on physical structure of the network like physical proximity of peers or semantic relationship among them. Our proposed model uses social network concepts as the main physical structure for clustering peers. Nodes in the model are grouped into several communities and sub communities with similar interests. The order and relation among communities are defined and controlled by a shared ontology. This structure provides lower distance and better locality in search. A simulation of the model shows lower path and better clustering than a random network. |
| first_indexed | 2025-11-15T10:13:44Z |
| format | Conference or Workshop Item |
| id | upm-47790 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:13:44Z |
| publishDate | 2008 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-477902019-05-28T07:39:13Z http://psasir.upm.edu.my/id/eprint/47790/ A social network Peer-to-Peer model for peer clustering Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati Peer clustering is a way for managing the structure of Peer-to-Peer (P2P) networks. It can be done on physical structure of the network like physical proximity of peers or semantic relationship among them. Our proposed model uses social network concepts as the main physical structure for clustering peers. Nodes in the model are grouped into several communities and sub communities with similar interests. The order and relation among communities are defined and controlled by a shared ontology. This structure provides lower distance and better locality in search. A simulation of the model shows lower path and better clustering than a random network. IEEE 2008 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/47790/1/A%20social%20network%20Peer-to-Peer%20model%20for%20peer%20clustering.pdf Modarresi, Amir and Mamat, Ali and Ibrahim, Hamidah and Mustapha, Norwati (2008) A social network Peer-to-Peer model for peer clustering. In: 3rd International Symposium on Information Technology (ITSim'08), 26-28 Aug. 2008, Kuala Lumpur, Malaysia. . 10.1109/ITSIM.2008.4631989 |
| spellingShingle | Modarresi, Amir Mamat, Ali Ibrahim, Hamidah Mustapha, Norwati A social network Peer-to-Peer model for peer clustering |
| title | A social network Peer-to-Peer model for peer clustering |
| title_full | A social network Peer-to-Peer model for peer clustering |
| title_fullStr | A social network Peer-to-Peer model for peer clustering |
| title_full_unstemmed | A social network Peer-to-Peer model for peer clustering |
| title_short | A social network Peer-to-Peer model for peer clustering |
| title_sort | social network peer-to-peer model for peer clustering |
| url | http://psasir.upm.edu.my/id/eprint/47790/ http://psasir.upm.edu.my/id/eprint/47790/ http://psasir.upm.edu.my/id/eprint/47790/1/A%20social%20network%20Peer-to-Peer%20model%20for%20peer%20clustering.pdf |