Theoretical research progress in complexity of complex dynamical networks

This article reviews the main progress in dynamical complexity of theoretical models for nonlinear complex networks proposed by our Joint Complex Network Research Group(JCNRG).The topological and dynamical properties of these theoretical models are numerically and analytically studied.Several findings are useful for understanding and deeply studying complex networks from macro- scopic to microscopic levels and have a potential of applications in real-world networks.     

网络科学的理论模型探索及其进展

简要评述了复杂网络分类和研究概况,着重概述了近年来本研究项目在网络科学的理论模型方面的探索及其进展。提出和探索了若干模型:和谐统一的混合择优模型,大统一混合网络模型,量子信息网络模型,纳米相干网络模型,局域世界演化模型,非局域连接模型,社区网络模型,属性连接网络模型,含权科学家合作模型,同步最优网络模型,以及广义同步和集团同步等问题。