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Clustering in a network of mutually attracting agents

机译:聚集在相互吸引的代理商网络中

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摘要

We introduce a model of mutually attracting agents in an arbitrary network, for which the long term behavior results in the emergence of several clusters. The cluster structure is independent of the initial condition and is characterized by a set of inequalities in the parameters of the model. With varying coupling strength, transitions between different cluster structures may take place. We illustrate the relation with the Kuramoto model on interconnected oscillators and we discuss an application on opinion formation.
机译:我们引入了一个在任意网络中相互吸引的主体的模型,对于该模型,长期行为会导致多个集群的出现。聚类结构与初始条件无关,其特征在于模型参数中的一组不等式。随着耦合强度的变化,不同簇结构之间可能发生过渡。我们说明了与Kuramoto模型在互连振荡器上的关系,并讨论了在意见形成上的应用。

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