Dobrescu Radu, Purcărea Victor
University Politehnica of Bucharest, Faculty of Automatic Control and Computers, Romania.
J Med Life. 2008 Apr-Jun;1(2):157-64.
The paper proposes a model that brings to light the characteristics of several complex systems having similar scale-free network architecture. The properties of this kind of network are compared with those of other methods which are specific for studying complex systems: nonlinear dynamics and statistical methods. We place particular emphasis on scale-free network theory and its importance in enhancing the framework for the quantitative study of complex biological systems. The advantages and limits in understanding the structure of cellular signaling networks of this model are finally discussed.
本文提出了一个模型，该模型揭示了几个具有类似无标度网络架构的复杂系统的特征。将这种网络的特性与其他研究复杂系统的特定方法（非线性动力学和统计方法）的特性进行了比较。我们特别强调无标度网络理论及其在加强复杂生物系统定量研究框架方面的重要性。最后讨论了该模型在理解细胞信号网络结构方面的优点和局限性。
