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Input graph: the hidden geometry in controlling complex networks

机译:输入图:控制复杂网络中的隐藏几何

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The ability to control a complex network towards a desired behavior relies on our understanding of the complex nature of these social and technological networks. The existence of numerous control schemes in a network promotes us to wonder: what is the underlying relationship of all possible input nodes? Here we introduce input graph, a simple geometry that reveals the complex relationship between all control schemes and input nodes. We prove that the node adjacent to an input node in the input graph will appear in another control scheme, and the connected nodes in input graph have the same type in control, which they are either all possible input nodes or not. Furthermore, we find that the giant components emerge in the input graphs of many real networks, which provides a clear topological explanation of bifurcation phenomenon emerging in dense networks and promotes us to design an efficient method to alter the node type in control. The findings provide an insight into control principles of complex networks and offer a general mechanism to design a suitable control scheme for different purposes.
机译:控制复杂网络以实现所需行为的能力取决于我们对这些社会和技术网络的复杂性的理解。网络中存在众多控制方案,这使我们想知道:所有可能的输入节点之间的潜在关系是什么?在这里,我们介绍输入图,它是一种简单的几何图形,它揭示了所有控制方案和输入节点之间的复杂关系。我们证明与输入图中输入节点相邻的节点将出现在另一种控制方案中,并且输入图中连接的节点在控制上具有相同的类型,它们要么都是可能的输入节点,要么不是所有可能的输入节点。此外,我们发现巨型组件出现在许多实际网络的输入图中,这为密集网络中出现的分叉现象提供了清晰的拓扑解释,并促使我们设计出一种有效的方法来更改控制中的节点类型。这些发现为复杂网络的控制原理提供了见识,并为设计适合不同目的的控制方案提供了通用机制。

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