Theoretical research progress in complexity of complex dynamical networks  

作　　者：Fang Jinqing 

机构地区：[1]Joint Complex Network Research Group, China Institute of Atomic Energy, Beijing 102413, China

出　　处：《Progress in Natural Science:Materials International》2007年第7期761-774,共14页自然科学进展·国际材料（英文版）

基　　金：National Natural Science Foundation of China(Grant Nos.70431002,70371068)

摘　　要：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 macroscopic to microscopic levels and have a potential of applications in real-world networks.这篇文章为我们的联合复杂网络研究组(JCNRG ) 建议的非线性的复杂网络在理论模型的动态复杂性考察主要进步。这些理论模型的拓扑、动态的性质数字地被学习。几调查结果为理解和深深地学习的复杂网络从是有用的对显微镜的层次宏观并且在真实世界的网络有应用的一个潜力。

关 键 词：Harmonious unifying hybrid preferential model a large unifying hybrid network model quantum interference network nanowire networks generalized local-world model non-local links model evolving model of weighted networks smallworld network with the unchanged degree. 

分 类 号：O313[理学—一般力学与力学基础]