Computer Science ›› 2018, Vol. 45 ›› Issue (2): 171-174.doi: 10.11896/j.issn.1002-137X.2018.02.030

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Dynamic Community Detection Based on Evolutionary Spectral Method

FU Li-dong and NIE Jing-jing   

  • Online:2018-02-15 Published:2018-11-13

Abstract: In order to effectively analyze the function and characteristics of the community structure in the dynamic network,the module density function and the negative average correlation function were optimized based on the evolutionaryclustering algorithm under the evolutionary time smoothing framework,and the theoretical feasibility was demonstrated.The evolution spectrum algorithm was proposed based on community structure of the dynamic network.The accuracy and effectiveness of the proposed algorithm was verified and compared with other algorithms in the computer synthesis and real dynamic network respectively.The experimental results show that the proposed algorithm is still very accurate and effective in the community detection of dynamic network.

Key words: Dynamic network,Community structure,Module density,Negative average correlation,Evolution spectrum

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