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

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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 (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2385
EP  - 2388
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.597
DO  - 10.2991/iccsee.2013.597
ID  - CAO2013/03
ER  -