Abstract
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 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.
*Supported by National Natural Science Foundation of China (Grant Nos. 70431002, 70371068)
Notes
*Supported by National Natural Science Foundation of China (Grant Nos. 70431002, 70371068)