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Comparative analysis on community structure algorithms of complex network

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1 Author(s)
Li Ji-xin ; Office of Sci. Res. Dept., Ludong Univ., Yantai, China

In recent years, the complex network has gradually become a matter of concern areas of research. More and more researchers joining and the new field constantly opening up, the community structure segmentation become more and more important. In this paper, the associations of the algorithms and the method of evaluation criteria is discussed on the complex networks. Objecting to the map without the right, a few typical associations of algorithms are analyzed, and the capacities of the algorithms were compared through their examples. Finally, the conclusions for the performance of the society algorithm are presented.

Published in:

Control and Decision Conference, 2009. CCDC '09. Chinese

Date of Conference:

17-19 June 2009

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