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J4  2013, Vol. 47 Issue (1): 37-43    DOI: 10.3785/j.issn.1008-973X.2013.01.006
Visualization of social network based on particle swarm optimization
LIU Fang, SUN Yun, YANG Geng, LIN Hai
State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou 310058, China
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A visualization method based on particle swarm optimization (PSO) for microblogging data was proposed in order to assist users to reveal and analyze the relationship among microblogging users more clearly and quickly. According to their influence, users were divided into n layers in order to represent how much the user can influence the dissemination of information in the network. Users were divided into subgroups based on their focus relationship; the objective function was designed based on the PSO algorithm in order to meet the layout requirements of social networks. Straight lines were replaced with curve lines in order to further enhance the visualization results and reduce the visual complexity.  Transfer function and interaction techniques were employed. Experimental results showed that the proposed method formed a clear visual result and provided a better analysis of relationship among the microblogging users.

Published: 01 January 2013
CLC:  TP 391  
Cite this article:

LIU Fang, SUN Yun, YANG Geng, LIN Hai. Visualization of social network based on particle swarm optimization. J4, 2013, 47(1): 37-43.

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