https://doi.org/10.1140/epjs/s11734-022-00713-4
Regular Article
Solitary states in complex networks: impact of topology
1
Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstr. 36, 10623, Berlin, Germany
2
Charité - Universitätsmedizin Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117, Berlin, Germany
3
Institute for Chemistry and Biology of the Marine Environment, Carl-von-Ossietzky-University Oldenburg, Carl-von-Ossietzky-Straße 9 - 11, 26111, Oldenburg, Germany
4
Bernstein Center for Computational Neuroscience, Humboldt-Universität zu Berlin, Philippstraße 13, 10115, Berlin, Germany
a
l.schuelen@campus.tu-berlin.de
Received:
31
August
2022
Accepted:
26
October
2022
Published online:
10
November
2022
The dynamical behavior of networked systems is expected to reflect the properties of their coupling structure. Yet, symmetry-broken solutions often occur in symmetrically coupled networks. An example are so-called solitary states where the dynamics of one network node is different from the synchronized rest. Here, we investigate the structural constraints of networks for the appearance of solitary states. By performing a large number of numerical simulations, we find that such states occur with high probability in asymmetric networks, among them scale-free ones. We analyze the structural properties of the networks that support solitary states. We demonstrate that the minimum neighbor node degree of a solitary node is crucial for the appearance of solitary states. Finally, we perform bifurcation analysis of dimension-reduced systems, which confirm the importance of the connectivity of the neighboring nodes.
© The Author(s) 2022
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