DocumentCode
2926353
Title
A social network Peer-to-Peer model for peer clustering
Author
Modarresi, Amir ; Mamat, Ali ; Ibrahim, Hamidah ; Mustapha, Norwati
Author_Institution
Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang
Volume
3
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
1
Lastpage
7
Abstract
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.
Keywords
graph theory; network theory (graphs); ontologies (artificial intelligence); pattern clustering; peer-to-peer computing; search problems; graph theory; peer clustering; search problem; semantic relationship; shared ontology; social network peer-to-peer network management;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-2327-9
Electronic_ISBN
978-1-4244-2328-6
Type
conf
DOI
10.1109/ITSIM.2008.4631989
Filename
4631989
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