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A New Analysis Method for Complex Network Based on Dynamics of Spin Diffusion

机译:基于自旋扩散动力学的复杂网络分析新方法

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摘要

We propose a new analysis method for a complex network based on a simple spin diffusion model. The model is constructed by a local interaction between vertices, as is in the spin dynamics. Several numerical experiments on network models are performed systematically under various initial conditions. The results strongly depend on the network structures, also on the initial conditions, while most conventional measures of the networks are almost same. It may be shown that the difference of dynamics induced by such interaction reveals a new characteristic feature of the network structure.
机译:我们提出了一种基于简单自旋扩散模型的复杂网络分析新方法。该模型由顶点之间的局部交互作用构成,就像自旋动力学一样。在各种初始条件下,系统地进行了一些关于网络模型的数值实验。结果很大程度上取决于网络结构,也取决于初始条件,而大多数传统的网络测量方法几乎相同。可以证明,由这种相互作用引起的动力学差异揭示了网络结构的新特征。

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