Structure Impact on Phase Transition in Complex Dynamical Networks

The consistency problem of large-scale complex clusters is closely related to the phase transition problem of complex networks. The structure of complex networks mainly affects the phase transition of complex networks. In this paper, a concise model of self-driven motion is adopted. Firstly, through simulation analysis, it is verified that density and noise are two main factors affecting the phase change consistency of complex network. Secondly, the influence of average degree of complex networks on phase transition consistency of complex networks is further analyzed. Finally, based on the research on the average degree of complex networks, the influence of the proportion of pinned nodes on the phase transition consistency of complex networks is explored in depth. At the same time, the effect of the average degree of complex networks and the proportion of pinned nodes on the phase transition consistency of complex networks is analyzed.