论文标题
意见网络建模和实验
Opinion Network Modeling and Experiment
论文作者
论文摘要
我们提出了一个模型，描述了由于个人网络之间的互动而引起的意见的时间演变。这种接受速度收缩（ASC）模型是根据意见和不确定性的耦合非线性微分方程来提出的。 ASC模型动力学允许多数立场的出现和持久性，因此平均意见甚至可以改变对称网络。该模型还根据最近提出的群体极化效应理论提出了观点和言论之间的区别。这使讨论引起的转变向极端的转变进行建模，而没有典型的建模假设对极端分子的说服力更大。描述了一个实验，其中三合会参与了在线讨论。模拟表明，ASC模型与实验数据有定性和定量一致。
We present a model describing the temporal evolution of opinions due to interactions among a network of individuals. This Accept-Shift-Constrict (ASC) model is formulated in terms of coupled nonlinear differential equations for opinions and uncertainties. The ASC model dynamics allows for the emergence and persistence of majority positions so that the mean opinion can shift even for a symmetric network. The model also formulates a distinction between opinion and rhetoric in accordance with a recently proposed theory of the group polarization effect. This enables the modeling of discussion-induced shifts toward the extreme without the typical modeling assumption of greater resistance to persuasion among extremists. An experiment is described in which triads engaged in online discussion. Simulations show that the ASC model is in qualitative and quantitative agreement with the experimental data.
