Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

A Context-aware Member Clustering Algorithm based on ant colony and Genetic optimization for P2P Mobile Social Network

Authors
Huaihu CAO, Yanmei ZHANG
Corresponding Author
Huaihu CAO
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.597How to use a DOI?
Keywords
mobile social network, context-aware, clustering model, P2P
Abstract
It is one of important topics in social network research how to form member clustering according to potential social relations by automatic context-aware the user's behavior feature. This paper presents a context-aware mobile P2P social network framework, member clustering model and algorithm. The user's location information, environmental characteristics etc. are introduced to the clustering algorithm, which intelligently cluster to potential P2P social network. The experimental results show that the proposed approach and the algorithm have a higher response speed, load balance and adaptive ability.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.597How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huaihu CAO
AU  - Yanmei ZHANG
PY  - 2013/03
DA  - 2013/03
TI  - A Context-aware Member Clustering Algorithm based on ant colony and Genetic optimization for P2P Mobile Social Network
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.597
DO  - https://doi.org/10.2991/iccsee.2013.597
ID  - CAO2013/03
ER  -