Different topologies for a herding model of opinion
Different topologies for a herding model of opinion
复制标题
DOI：
10.1103/physreve.75.066108
复制
发表时间：
2007-06-01
影响因子：
2.4
通讯作者：
Herrmann, H. J.
中科院分区：
文献类型：
--
作者：
Schwammle, V.;Gonzalez, M. C.;Herrmann, H. J.
了解意见如何在社区中传播，或者如何在嘈杂的环境中达成共识，可以对我们理解个人之间的社会关系产生重大影响。在这项工作中，一个模型的意见形成的动态。该模型是基于代理商的意见向量之间的非线性相互作用加上一个随机变量，以考虑噪声的影响，代理商的方式进行通信。提出的动态是能够产生丰富的动态模式的互动群体或集群的代理人具有相同的意见，没有一个领导者或集中控制。我们的研究结果表明，通过增加噪声的强度，系统从共识到无序状态。根据相互竞争的观点的数量和交互网络的细节，系统会显示一阶或二阶过渡。我们比较了不同拓扑结构的相互作用的行为：一维链，退火和复杂的网络。
Understanding how opinions spread through a community or how consensus emerges in noisy environments can have a significant impact on our comprehension of social relations among individuals. In this work a model for the dynamics of opinion formation is introduced. The model is based on a nonlinear interaction between opinion vectors of agents plus a stochastic variable to account for the effect of noise in the way the agents communicate. The dynamics presented is able to generate rich dynamical patterns of interacting groups or clusters of agents with the same opinion without a leader or centralized control. Our results show that by increasing the intensity of noise, the system goes from consensus to a disordered state. Depending on the number of competing opinions and the details of the network of interactions, the system displays a first- or a second-order transition. We compare the behavior of different topologies of interactions: one-dimensional chains, and annealed and complex networks.