Journal on Communications ›› 2014, Vol. 35 ›› Issue (1): 89-98.doi: 10.3969/j.issn.1000-436x.2014.01.011

• academic paper • Previous Articles     Next Articles

Multi-scale analysis of social network based on diffusion wavelets

Guo-wei SHEN1,Wu YANG1,Wen-ting HUANG2,Wei WANG1,Li DING2,Miao YU1   

  1. 1 Research Center of Information Security,Harbin Engineering University,Harbin 150001,China
    2 National Computer Network Emergency Response Technical Team/Coordination Center of China,Beijing 100029,China
  • Online:2014-01-25 Published:2017-06-17
  • Supported by:
    The National High Technology Research and Development Program of China (863 Program);The National Natural Science Foundation of China;The Fundamental Research Funds for the Central Universities

Abstract:

A new multi-scale framework based on diffusion wavelets was proposed to analyze the homogeneous relationships,which can be used to conduct multi-scale analysis on structures,contents and user behaviors.The diffusion operator of diffusion wavelet only considers the local similarity in this framework.The experiments on both synthetic and real-world networks show that the proposed algorithm outperforms the typical algorithms in multi-scale analysis without parameters.

Key words: social network, multi-scale, homogeneity, diffusion wavelets, diffusion operator

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