Entropy rate of diffusion processes on complex networks
Entropy rate of diffusion processes on complex networks
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DOI：
10.1103/physreve.78.065102
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发表时间：
2008-12-01
影响因子：
2.4
通讯作者：
Latora, Vito
中科院分区：
文献类型：
--
作者：
Gomez-Gardenes, Jesus;Latora, Vito
我们引入熵率的概念来表征复杂网络上的扩散过程。熵率代表了描述网络上扩散所需的最小信息量，是对网络拓扑和动态极其敏感的量。通过适当地调整扩散类型，熵率允许人们提取网络结构的不同属性。此外，熵最大化表明如何设计最佳扩散过程，为社会、技术和通信系统的应用提供了新的理论工具。
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.