Zou, YongDonner, Reik V.Kurths, Juergen2015-05-152015-05-152015-02-27Zou, Y, Donner, R V & Kurths, J 2015, 'Analyzing long-term correlated stochastic processes by means of recurrence networks : Potentials and pitfalls', Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 2, 022926. https://doi.org/10.1103/PhysRevE.91.0229261539-3755ArXiv: http://arxiv.org/abs/1409.3613v1http://hdl.handle.net/2164/4545ACKNOWLEDGMENTS Y.Z. acknowledges financial support by the NNSF of China (Grants No. 11305062, No. 11135001, and No. 81471651), the Specialized Research Fund (SRF) for the Doctoral Program (Grant No. 20130076120003), the SRF for ROCS, SEM, the Open Project Program of State Key Laboratory of Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, China (Grant No.Y4KF151CJ1), and the German Academic Exchange Service (DAAD). R.V.D. has been funded by the German Federal Ministry for Education and Research (BMBF) via the Young Investigator’s group CoSy-CC2 (Project No. 01LN1306A). The authors thank the anonymous reviewers for helpful remarks on the original version of this manuscript.81765769engdetrended fluctuation analysistime-seriesstrange attractorssystemstransitionspersistencedimensionevolutionplotsQC PhysicsQCJournal article10.1103/PhysRevE.91.022926912