Telecommunications Science ›› 2017, Vol. 33 ›› Issue (1): 24-33.doi: 10.11959/j.issn.1000-0801.2017026

• research and development • Previous Articles     Next Articles

Research progress of dynamic community evolution

Jianfei PAN,Lili XU,Yihong DONG()   

  1. Faculty of Electrical Engineering and Computer Science,Ningbo University,Ningbo 315211,China
  • Revised:2017-01-06 Online:2017-01-01 Published:2017-06-04
  • Supported by:
    Zhejiang Provincial Natural Science Foundation of China(LY16F020003)

Abstract:

Community structure is one of the topological characteristics of social network.It is an important research topic in social network research to explore the structure of community,detect and predict the change of community structure.The evolution of dynamic community was discussed from time slicing processing and dynamic increment strategies.The time slice processing strategy introduced the comparative evolution of the time slice,the clustering evolution of the time slice,and the fusion evolution of the time slice.The dynamic increment strategy described the dynamic evolution of the core community,the dynamic evolution of the cluster and the dynamic evolution of the index.Finally,the framework of community evolution prediction was summarized.

Key words: dynamic community mining, dynamic community evolution, dynamic community evolution prediction

CLC Number: 

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