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复杂网络上扩散过程的熵率

Entropy rate of diffusion processes on complex networks.

作者信息

Gómez-Gardeñes Jesús, Latora Vito

机构信息

Scuola Superiore di Catania, Via S. Nullo 5/i, 95123 Catania, Italy.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Dec;78(6 Pt 2):065102. doi: 10.1103/PhysRevE.78.065102. Epub 2008 Dec 11.

Abstract

We introduce the concept of entropy rate to characterize a diffusion process on a complex network. The entropy rate represents the minimal amount of information necessary to describe the diffusion on the network, and is a quantity extremely sensitive to the network topology and dynamics. By opportunely tuning the kind of diffusion, the entropy rate allows one to extract different properties of the network structure. Moreover, entropy maximization indicates how to design optimal diffusion processes, providing a new theoretical tool with applications to social, technological, and communication systems.

摘要

我们引入熵率的概念来刻画复杂网络上的扩散过程。熵率表示描述网络上扩散所需的最少信息量,并且是一个对网络拓扑和动态极其敏感的量。通过适当地调整扩散的类型,熵率能够让人提取网络结构的不同属性。此外,熵最大化指明了如何设计最优扩散过程,为社会、技术和通信系统的应用提供了一种新的理论工具。

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