摘要
针对民意的形成演化与社会网络的拓扑结构密切相关的特点,为了减少控制民意的能力,建立了一个民意形成演化的非线性微分方程模型,探索民意形成演化与个体观点转变系数和网络结构之间的关系,采用线性化的方法对模型的局部稳定性进行了理论分析,得出不同的观点转变系数会导致不同的民意走势和网络规模很大时会涌现出主导民意的结论,并提出网络生成机制对BA网络进行改进,生成一个更能描述真实社会网络结构的复杂网络,网络为载体可对民意走势进行仿真,结果很好地验证了理论分析的结论。
In order to study how the individual opinion conversion coefficient and how the structure of the social net affects the public opinion formation and evolution,a nonlinear differential equation model is constructed.The local stability of the model is analyzed theoretically by linearization in the light of the trait of it.On the basis of foregoing work,the conclusions are that different opinion conversion coefficient leads to different public opinion trends and dominant public opinion emergences on the presence of larger size of social net.A new social net which is close to the real social net,is generated by improving the Barabsi-Albert networks which falls short of simulating social net.And then the simulation about the public opinion trend is made by using it as a supporter and the results are largely consistent with the ones draw from analyzing mathematically.
出处
《计算机仿真》
CSCD
北大核心
2011年第2期97-100,123,共5页
Computer Simulation
基金
海军工程大学自然科学基金资助项目(HGDJJ041)
关键词
民意
复杂网络
建模与仿真
社会网络
Public opinion
Complex network
Modeling and simulating
Social net
