标题： 群体互动的共演化动力学：共演化非线性投票者模型 显示英文标题

标题： Coevolutionary Dynamics of Group Interactions: Coevolving Nonlinear Voter Models

摘要： 我们综述了在意见形成中网络拓扑和群体互动的共演化动力学，这是基于一个共演化非线性投票者模型。 该共演化非线性投票者模型包含了两种机制：通过投票者模型中的非线性实现的群体互动，以及通过重新连接以消除不同意见节点之间连接的网络可塑性。 我们表明，通过非线性实现的群体互动的作用可以显著影响节点状态的动力学结果和网络拓扑。 此外，我们回顾了考虑不同重新连接机制、翻转节点状态的噪声以及多层结构的共演化非线性投票者模型的几种变体。 我们将共演化非线性投票者模型的各种方面作为由群体互动驱动的网络共演化的例子进行描述，并最后提出其意义和未来研究的潜在方向。 显示英文摘要

摘要： We survey the coevolutionary dynamics of network topology and group interactions in opinion formation, grounded on a coevolving nonlinear voter model. The coevolving nonlinear voter model incorporates two mechanisms: group interactions implemented through nonlinearity in the voter model and network plasticity demonstrated as the rewiring of links to remove connections between nodes in different opinions. We show that the role of group interactions, implemented by the nonlinearity can significantly impact both the dynamical outcomes of nodes' state and the network topology. Additionally, we review several variants of the coevolving nonlinear voter model considering different rewiring mechanisms, noise of flipping nodes' state, and multilayer structures. We portray the various aspects of the coevolving nonlinear voter model as an example of network coevolution driven by group interactions, and finally, present the implications and potential directions for future research.