Solitary states in complex networks: impact of topology

Abstract: The dynamical behavior of networked systems is expected to reflect the features of their coupling structure. Yet, symmetry-broken solutions often occur in symmetrically coupled networks. An example is provided by the so-called solitary states where the dynamics of one network node is different from the entire symmetric network. Here, we investigate the structural constraints of networks for the appearance of solitary states in their dynamics. By performing a large number of numerical simulations, we find that such states occur with high probability in asymmetric networks, such as the ones exhibiting the scale-free property. Next, we analyze the structural features of the networks demonstrating solitary states to reveal that the minimum number of connections in the adjacent nodes of a solitary one is crucial for the appearance of the solitary states. Finally, we perform bifurcation analysis of a dimension-reduced system, confirming the influence of the connectivity of the neighboring nodes on the solitary ones.