Novel Dynamic Evolution Model Based on Improved Cellular Automata in Hierarchical Complex Networks

Modeling of network structures has been a popular issue in the study of complex networks. The use of complex network theory in modeling complex networks has gradually become a trend. In this study, the current research status of the modeling of complex networks was synthesized based on the BA scale-free network model. The advantages and disadvantages of most mainstream models were integrated, and a complex network model was established from the view of hierarchical community structures. Furthermore, a dynamic evolution network model was built by establishing a new evolution rule of cellular automata. Simulation experiments were conducted to validate the model. Results revealed that the network exhibits a power-law behavior and has a clear, controlled community structure. The model can suitably describe the characteristics of complex network topologies.