Degree distribution and link prediction in the coupled chaotic oscillator networks
Complex dynamical networks consisting of a large number of interacting oscillators can be found ubiquitously in nature and society. The deformation of the attractor and the regression analysis are used to study the degree distribution in the coupled chaotic oscillator scale-free networks. An extremum-difference definition of the deformation measure for estimating the degree distribution and finding the hubs nodes is presented. Furthermore, when the node degree is small, the regression analysis can be used to find the link.
