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Two universal physical principles shape the power-law statistics of real-world networks

机译:两个普遍的物理原则塑造了现实世界网络的幂律统计数据

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摘要

The study of complex networks has pursued an understanding of macroscopic behaviour by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental physical principles that are at the basis of complex network generation. These principles together predict the generic emergence of deviations from ideal power laws, which were previously discussed away by reference to the thermodynamic limit. Our approach proposes a paradigm shift in the physics of complex networks, toward the use of power-law deviations to infer meso-scale structure from macroscopic observations.
机译:复杂网络的研究通过专注于微观观察中的幂律来追求对宏观行为的理解。在这里,我们发现在复杂的网络生成的基础上解开了两个普遍的基本物理原则。这些原则共同预测了从理想动力法的偏离偏离的通用出现,以前通过参考热力学极限讨论。我们的方法提出了复杂网络物理学的范式转变,朝着使用权力偏差来推断从宏观观测中推断中间规模结构。

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