  In this study, we performed comprehensive morphological investigations of the
spontaneous formations of effective network structures among elements in
coupled logistic maps, specifically with a delayed connection change. Our
proposed model showed ten states with different structural and dynamic features
of the network topologies. Based on the parameter values, various stable
networks, such as hierarchal networks with pacemakers or multiple layers, and a
loop-shaped network were found. We also found various dynamic networks with
temporal changes in the connections, which involved hidden network structures.
Furthermore, we found that the shapes of the formed network structures were
highly correlated to the dynamic features of the constituent elements. The
present results provide diverse insights into the dynamics of neural networks
and various other biological and social networks.
