DYNAMIC EVOLUTION MODEL BASED ON SOCIAL NETWORK SERVICES

Xi Xiong (), Zhi-Jian Gou (), Shi-Bin Zhang () and Wen Zhao ()
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Xi Xiong: College of Network Engineering, Chengdu University of Information Technology, Chengdu, Sichuan 610225, P. R. China
Zhi-Jian Gou: College of Network Engineering, Chengdu University of Information Technology, Chengdu, Sichuan 610225, P. R. China
Shi-Bin Zhang: College of Network Engineering, Chengdu University of Information Technology, Chengdu, Sichuan 610225, P. R. China
Wen Zhao: College of Network Engineering, Chengdu University of Information Technology, Chengdu, Sichuan 610225, P. R. China

International Journal of Modern Physics C (IJMPC), 2013, vol. 24, issue 11, 1-9

Abstract: Based on the analysis of evolutionary characteristics of public opinion in social networking services (SNS), in the paper we propose a dynamic evolution model, in which opinions are coupled with topology. This model shows the clustering phenomenon of opinions in dynamic network evolution. The simulation results show that the model can fit the data from a social network site. The dynamic evolution of networks accelerates the opinion, separation and aggregation. The scale and the number of clusters are influenced by confidence limit and rewiring probability. Dynamic changes of the topology reduce the number of isolated nodes, while the increased confidence limit allows nodes to communicate more sufficiently. The two effects make the distribution of opinion more neutral. The dynamic evolution of networks generates central clusters with high connectivity and high betweenness, which make it difficult to control public opinions in SNS.

Keywords: Complex networks; social networking services; dynamic evolution; central cluster; 02.50.Ey; 87.23.Ge; 89.75.Fb (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1142/S0129183113500812

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