A Novel Emergence Model of Public Opinion Based on Small-World Network

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From the view of complex networks and emergent computation, a new emergence model of public opinion is built. It is based on small-world model, and takes Internet users as agents. Then the system parameters and realistic interactions in this model are set. Simulation results show that our model can demonstrate the whole evolution process of formed or unformed public opinion. The formation evolution of public opinion is in accordance with the real network of public opinion. We can get all kinds of public opinion forms via setting different model parameters. By comparing with the existing network model, there is an obvious advantage for the interaction rules and forms in our model, and it is realistic and reasonable. As a new model for the complex system, it can be used as one of the objects for studying the network behaviors and emergent computation.

Info:

Periodical:

Key Engineering Materials (Volumes 474-476)

Edited by:

Garry Zhu

Pages:

2263-2268

Citation:

Y. Wu et al., "A Novel Emergence Model of Public Opinion Based on Small-World Network", Key Engineering Materials, Vols. 474-476, pp. 2263-2268, 2011

Online since:

April 2011

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$41.00

[1] Changyu Liu, Xiaofeng Hu, and Pi Luo: Based on asymmetric emergence of interpersonal influence model of public opinion, System Simulation, vol. 20, (2008), pp.990-992, 996.

[2] Shiyao Jin, Hongbing Huang, and Gaojun Fan: The emergence of multi-Agent system and its progress, Journal of Computer, vol. 31, (2008), pp.881-895.

[3] Yu Wu, Kaizhou Xiao, Hongtao Liu, and Hong Tang: Evolution of BBS virtual community and simulation, Systems Engineering Theory & Practice, vol. 30, (2010), pp.1883-1890.

[4] Huanzheng Wu, Yu Wu, and Kaizhou Xiao: Public Opinion Classification based on Rough Set and Ensemble Learning, Journal of Guangxi University, vol. 34, (2009), pp.47-50.

[5] Yu Wu, Kai Zhou, and Yinguo Li: Research on metrics of quantitative evaluation about Swarm emergent behaviors, Control Theory and Applications, vol. 27, (2010), pp.1086-1092.

[6] M E J Newman and D J Watts: Scaling and Percolation in the Small-world Network Model, Phys. RevE(S1063-6517), vol. 60, (1999), pp.7332-7342.

[7] D J Watts and S H Strogatz: Collective dynamics of small world network, Nature(S0028-0836), vol. 393, (1998), pp.440-442.

[8] M E J Newman and D J Watts: Scaling and Percolation in the Small-world Network Model, Phys. RevE(S1063-6517), vol. 60, (1999), pp.7332-7342.