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Synchronizability of dynamical networks: different measures and coincidence

机译:动态网络的同步性:不同的度量和巧合

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In this paper, we list four different interpretations of synchronizability, study their profile in different network structures and give evidence that they do not coincide, in general. By changing the network topological properties, their behavior is tracked and compared with each other. It is shown that their trend goes in different directions in heterogeneous networks such as scale-free ones, whereas in homogeneous ones such as random networks they go hand in hand, as networks' structural parameters change. We also consider networks whose synchronization properties are enhanced through proper weighting or rewiring. The weighting procedure considers information on the node-degrees, node and edges betweenness centralities to assign proper weights for the links. In this way, an undirected and unweighted graph is changed to a weighted and directed one and with enhanced synchronizability. The rewiring algorithm uses information on the eigenvectors corresponding to the second smallest and the largest eigenvalues of the Laplacian matrix to perform efficient rewirings to enhance the synchronizability. It is shown that in these networks (weighted or rewired), different synchronizability interpretations have the same trend as the network structural parameter changes.
机译:在本文中,我们列出了四种不同的同步性解释,研究了它们在不同网络结构中的形象,并给出了它们通常不一致的证据。通过更改网络拓扑属性,可以跟踪它们的行为并相互比较。结果表明,它们的趋势在异构网络(如无标度网络)中朝着不同的方向发展,而在同类网络(如随机网络)中,它们随着网络结构参数的变化而并驾齐驱。我们还考虑通过适当的加权或重新布线来增强其同步属性的网络。加权过程考虑有关节点度,节点和边缘中间性中心点的信息,以为链路分配适当的权重。通过这种方式,无向和无权图被更改为加权和有向图,并且具有增强的同步性。重布线算法使用与拉普拉斯矩阵的第二最小和最大特征值相对应的特征向量上的信息来执行有效的重布线以增强同步性。结果表明,在这些网络(加权或重新布线)中,随着网络结构参数的变化,不同的同步性解释具有相同的趋势。

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