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New Technology of Library and Information Service  2015, Vol. 31 Issue (11): 60-67    DOI: 10.11925/infotech.1003-3513.2015.11.09
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Study on the Internet Public Opinion Dissemination Model with Discussion Under the Effect of Media
Zhang Lifan, Zhao Kai
College of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
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[Objective] By building a dissemination model with a discussion of Internet public opinion, the paper studies the inner rule of the public opinion evolution. [Methods] Present a new dissemination model with a discussion of the mechanism named SIaIbR, and express the impact of media on public opinion with the concept of Enhanced Degree and Divergence. According to dynamics equations, the equilibrium point and stability of the model are proved.[Results] The result of simulation shows that relative to the Enhanced Degree, the Divergence has an even greater impact on the dissemination of Internet public opinion. When Divergence is lower than 0.5, the government has a great impact on putting down the public opinion.[Limitations] Without combining reality disseminate examples.[Conclusions] The results can help the government take measures when facing the problem of Internet public opinion propagation, and also provide some references for the further research on Internet public opinion.

Received: 04 May 2015      Published: 06 April 2016
:  C931  

Cite this article:

Zhang Lifan, Zhao Kai. Study on the Internet Public Opinion Dissemination Model with Discussion Under the Effect of Media. New Technology of Library and Information Service, 2015, 31(11): 60-67.

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[1] Zhou J, Liu Z, Li B. Influence of Network Structure on Rumor Propagation [J]. Physics Letters A, 2007, 368(6): 458-463.
[2] Han S, Zhuang F, He Q, et al. Energy Model for Rumor Propagation on Social Networks [J]. Physica A: Statistical Mechanics & Its Applications, 2014, 394: 99-109.
[3] Zanette D. Dynamics of Rumor Propagation on Small-world Networks [J]. Physical Review E, Statistical, Nonlinear, and Soft Matter Physics, 2002, 65(4): 110-126.
[4] Moreno Y, Nekovee M, Pacheco A F. Dynamics of Rumor Spreading in Complex Networks [J]. Physical Review E, Statistical, Nonlinear, and Soft Matter Physics, 2004, 69(6): 279-307.
[5] 陈波, 于泠, 刘君亭, 等. 泛在媒体环境下的网络舆情传播控制模型[J]. 系统工程理论与实践, 2011, 31(11): 2140-2150. (Chen Bo, Yu Ling, Liu Junting, et al. Dissemination and Control Model of Internet Public Opinion in the Ubiquitous Media Environments [J]. Systems Engineering ——Theory & Practice, 2011, 31(11): 2140-2150.)
[6] Crokidakis N. Effects of Mass Media on Opinion Spreading in the Sznajd Sociophysics Model [J]. Physica A: Statistical Mechanics & Its Applications, 2012, 391: 1729-1734.
[7] 朱恒民, 刘凯, 卢子芳. 媒体作用下互联网舆情话题传播模型研究[J]. 现代图书情报技术, 2013(3): 45-50. (Zhu Hengmin, Liu Kai, Lu Zifang. Study on Topic Propagation Model of Internet Public Opinion Under the Influence of the Media [J]. New Technology of Library and Information Service, 2013(3): 45-50.)
[8] Zhao L, Cui H, Qiu X, et al. SIR Rumor Spreading Model in the New Media Age [J]. Physica A: Statistical Mechanics & Its Applications, 2013, 392:995-1003.
[9] Qian Z, Tang S, Zhang X, et al. The Independent Spreaders Involved SIR Rumor Model in Complex Networks [J]. Physica A: Statistical Mechanics and Its Applications, 2015, 429: 95-102.
[10] Kermack W O, McKendrick A G. Contributions to the Mathematical Theory of Epidemics [J]. Bulletin of Mathematical Biology, 1991, 53(1-2): 33-55.
[11] Gonalez-Parra G, Arenas A J, Chen-Charpentier B M. Combination of Nonstandard Schemes and Richardson's Extrapolation to Improve the Numerical Solution of Population Models [J]. Mathematical and Computer Modeling, 2010, 52(7-8): 1030-1036.
[12] 廖晓昕. 动力系统的稳定性理论和应用[M]. 北京: 国防工业出版社, 2000. (Liao Xiaoxin.Theory and Application of Stability for Dynamical Systems[M].Beijing: National Defense Industry Press, 2000.)
[13] Van den Driessche P, Watmough J. Reproduction Numbers and Sub-threshold Endemic Equilibria for Compartmental Models of Disease Transmission [J]. Mathematical Biosciences, 2002, 180(1-2): 29-48.
[14] Stuart A M, Humphries A R. Dynamic System and Numerical Analysis [M]. New York: Cambridge University Press, 1996: 22-24.

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