Nitzbon, J.Schultz, P.Heitzig, J.Kurths, J.Hellmann, F.2017-06-072017-06-072017-03-16Nitzbon, J, Schultz, P, Heitzig, J, Kurths, J & Hellmann, F 2017, 'Deciphering the imprint of topology on nonlinear dynamical network stability', New Journal of Physics, vol. 19, 033029, pp. 1-15. https://doi.org/10.1088/1367-2630/aa63211367-2630ArXiv: http://arxiv.org/abs/1612.03654v1http://hdl.handle.net/2164/8770Acknowledgments The authors gratefully acknowledge the support of BMBF, CoNDyNet, FK. 03SF0472A. The authors gratefully acknowledge the European Regional Development Fund (ERDF), the German Federal Ministry of Education and Research and the Land Brandenburg for supporting this project by providing resources on the high performance computer system at the Potsdam Institute for Climate Impact Research. The publication of this article was funded by the Open Access Fund of the Leibniz Association. We further thank Peng Ji for helpful discussions regarding the interpretation of the results.1513626800engcoupled ocscillator networksnetwork stabilitynetwork topologypower gridsbasin stabilitysurvivabilitysecond-order Kuramoto modelQC PhysicsQCJournal article10.1088/1367-2630/aa632119