自适应调控网络的微动力学和临界性。
Microdynamics and criticality of adaptive regulatory networks.
机构信息
Department of Pharmacology and Systems Therapeutics, Systems Biology Center New York, Mount Sinai School of Medicine, New York, New York 10029, USA.
出版信息
Phys Rev Lett. 2010 Apr 23;104(16):168701. doi: 10.1103/PhysRevLett.104.168701. Epub 2010 Apr 19.
Abstract
We present a model of adaptive regulatory networks consisting of a simple biologically motivated rewiring procedure coupled to an elementary stability criterion. The resulting networks exhibit a characteristic stationary heavy-tailed degree distribution, show complex structural microdynamics, and self-organize to a dynamically critical state. We show analytically that the observed criticality results from the formation and breaking of transient feedback loops during the adaptive process.
摘要
我们提出了一个自适应调节网络模型，该模型由一个简单的基于生物学动机的重新布线过程和一个基本的稳定性准则组成。所得到的网络表现出特征性的固定重尾度分布，显示出复杂的结构微动力学，并自我组织到一个动态临界状态。我们通过分析表明，观察到的临界性是由于自适应过程中瞬态反馈回路的形成和破坏所致。
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