社交网络中的Blume-Emery-Griffiths动力学
Blume-Emery-Griffiths dynamics in social networks
摘要：
我们在社交网络中引入了Blume-Emery-Griffiths（BEG）模型来描述意见形成的三态动力学。结果表明，民意时间序列的概率分布函数是类高斯分布。我们还研究了BEG模型对外部周期扰动的响应。可以观察到内部热噪声和外部场导致相变，这是意见分布的分裂现象。外场幅值和热噪声幅值对意见系统的影响是相反的。
英文摘要：
We introduce the Blume-Emery-Griffiths (BEG) model in a social networks to describe the three-state dynamics of opinion formation. It shows that the probability distribution function of the time series of opinion is a Gaussian-like distribution. We also study the response of BEG model to the external periodic perturbation. One can observe that both the interior thermo-noise and the external field result in phase transition, which is a split phenomena of the opinion distributions. It is opposite between the effect acted on the opinion systems of the amplitude of the external field and of the thermo-noise.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
