基于含权局域多数规则的舆论扩散行为

利用含权局域多数规则我们模拟了二元态模型中的舆论动力学，并观察了个人偏好如何相互作用并最终得到集体行为。在所有的网络状态下，最终都会在某一观点上达成一致。但是具有更高的连接度的网络会在更快的时间范围内达成一致。同时网络的连通性越高，网络中的舆论传播越会更快的收敛。对于同样的连接度的网络。收敛的弛豫时间随着节点的数目的增加而增加。对于网络中的权重分布，我们并没有看到它对网络中的舆论传播行为产生明显的影响。

The opinion spreading based on the weighted local majority rule

The paper uses weighted local majority rules to model the opinion dynamics in binary state model and observes how individual preferences can interact and aggregate and then come to the collective behavior. All networks show the convergent behavior. But networks with higher connectivity can get the convergence in shorter time. And the width of weight distribution does not seem to matter the opinion spreading as long as the shape remains the same.