A Context-Aware Member Clustering Algorithm Based on Ant Colony and Genetic Optimization for P2P Mobile Social Network
2013 ◽
Vol 347-350
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pp. 2458-2462
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Keyword(s):
t 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.
Keyword(s):
2011 ◽
Vol 8
(2)
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pp. 529-549
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Keyword(s):
2014 ◽
Vol 30
(5)
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pp. 1018-1028
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Keyword(s):
Keyword(s):
2013 ◽
Vol 479-480
◽
pp. 1213-1217