Computer Science ›› 2015, Vol. 42 ›› Issue (8): 136-137.

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Mimic Community Clustering of Society Networks

CHENG Ping-guang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The formation and evolution of social network are a dynamic process.Mimic computing can dynamically meet the users’ needs based on resources,tasks,safety,effectiveness and service,so it is a useful method to adapt to the dynamic social network.The paper proposed a mimic community clustering(MCC) based on traditional SIR model and mimic computing.The results of experiment performed on real data show that the method has high value.

Key words: Mimic computing,Community clustering

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