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arXiv 0801.3699cond-mat.dis-nnphysics.soc-ph
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临界网络在结构-动力学关系中表现出最大信息多样性

Critical Networks Exhibit Maximal Information Diversity in Structure-Dynamics Relationships

Matti Nykter, Nathan D. Price, Antti Larjo, Tommi Aho, Stuart A. Kauffman, Olli Yli-Harja, Ilya Shmulevich

摘要:

网络结构强烈地限制了复杂系统的动态行为范围。这些系统动力学可以根据它们对随时间的扰动的响应分为两个不同的区域,有序或混沌,由临界相变分开。许多研究表明,最复杂的动力学出现在临界状态附近。在这里,我们使用信息理论的方法来研究结构动力学的关系在一个统一的框架内,以及如何这些关系是最多样化的关键政权。

英文摘要:

Network structure strongly constrains the range of dynamic behaviors available to a complex system. These system dynamics can be classified based on their response to perturbations over time into two distinct regimes, ordered or chaotic, separated by a critical phase transition. Numerous studies have shown that the most complex dynamics arise near the critical regime. Here we use an information theoretic approach to study structure-dynamics relationships within a unified framework and how that these relationships are most diverse in the critical regime.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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