Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/395039
Title: | A social network peer-to-peer model for peer clustering |
Authors: | Amir Modarresi Ali Mamat Hamidah Ibrahim Norwati Mustapha |
Conference Name: | International Symposium on Information Technology |
Keywords: | Peer-to-peer model Peer clustering |
Conference Date: | 26/08/2008 |
Conference Location: | Kuala Lumpur Convention Centre |
Abstract: | Peer clustering is way for managing the structure of Peer-to-Peer (P29) 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. |
Pages: | 7 |
Call Number: | T58.5.C634 2008 kat sem j.3 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE),Piscataway, US |
Appears in Collections: | Seminar Papers/ Proceedings / Kertas Kerja Seminar/ Prosiding |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.