Signatures of chaotic and stochastic dynamics uncovered withε-recurrence networks

Multiscale complex network for analyzing experimental multivariate time series

(2015) Zhong-Ke Gao et al.   EPL

Dynamics of intracranial electroencephalographic recordings from epilepsy patients using univariate and bivariate recurrence networks

(2015) Narayan Puthanmadam Subramaniyam et al.   PHYSICAL REVIEW E

Multi-frequency complex network from time series for uncovering oil-water flow structure

(2015) Zhong-Ke Gao et al.   Scientific Reports

Characterization of dynamical systems under noise using recurrence networks: Application to simulated and EEG data

(2014) Narayan Puthanmadam Subramaniyam et al.   PHYSICS LETTERS A

Distinguishing Noise from Chaos: Objective versus Subjective Criteria Using Horizontal Visibility Graph

(2014) Martín Gómez Ravetti et al.   PLoS One

Can we predict the unpredictable?

(2014) Abbas Golestani et al.   Scientific Reports

Testing time series irreversibility using complex network methods

(2013) Jonathan F.Donges et al.   EPL

Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows

(2013) Zhong-Ke Gao et al.   EPL

Online Seizure Prediction Using an Adaptive Learning Approach

(2013) Shouyi Wang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Multivariate recurrence network analysis for characterizing horizontal oil-water two-phase flow

(2013) Zhong-Ke Gao et al.   PHYSICAL REVIEW E

Phase coherence and attractor geometry of chaotic electrochemical oscillators

(2012) Yong Zou et al.   CHAOS

Multiscale characterization of recurrence-based phase space networks constructed from time series

(2012) Ruoxi Xiang et al.   CHAOS

Power-laws in recurrence networks from dynamical systems

(2012) Y. Zou et al.   EPL

Analytical framework for recurrence network analysis of time series

(2012) Jonathan F. Donges et al.   PHYSICAL REVIEW E

Distinguishing chaotic and stochastic dynamics from time series by using a multiscale symbolic approach

(2012) L. Zunino et al.   PHYSICAL REVIEW E

Geometric detection of coupling directions by means of inter-system recurrence networks

(2012) Jan H. Feldhoff et al.   PHYSICS LETTERS A

Contrasting chaos with noise via local versus global information quantifiers

(2012) Felipe Olivares et al.   PHYSICS LETTERS A

Investigating the topology of interacting networks

(2011) J. F. Donges et al.   EUROPEAN PHYSICAL JOURNAL B

The geometry of chaotic dynamics — a complex network perspective

(2011) R. V. Donner et al.   EUROPEAN PHYSICAL JOURNAL B

RECURRENCE-BASED TIME SERIES ANALYSIS BY MEANS OF COMPLEX NETWORK METHODS

(2011) REIK V. DONNER et al.   INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS

Causality and the entropy–complexity plane: Robustness and missing ordinal patterns

(2011) Osvaldo A. Rosso et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Ambiguities in Bandt–Pompe’s methodology for local entropic quantifiers

(2011) Felipe Olivares et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Nonlinear detection of paleoclimate-variability transitions possibly related to human evolution

(2011) J. F. Donges et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Identifying complex periodic windows in continuous-time dynamical systems using recurrence-based methods

(2010) Yong Zou et al.   CHAOS

Recurrence networks—a novel paradigm for nonlinear time series analysis

(2010) Reik V Donner et al.   NEW JOURNAL OF PHYSICS

Description of stochastic and chaotic series using visibility graphs

(2010) Lucas Lacasa et al.   PHYSICAL REVIEW E

Ambiguities in recurrence-based complex network representations of time series

(2010) Reik V. Donner et al.   PHYSICAL REVIEW E

Horizontal visibility graphs: Exact results for random time series

(2009) B. Luque et al.   PHYSICAL REVIEW E

Complex network approach for recurrence analysis of time series

(2009) Norbert Marwan et al.   PHYSICS LETTERS A

Characterizing pseudoperiodic time series through the complex network approach

(2008) Jie Zhang et al.   PHYSICA D-NONLINEAR PHENOMENA

Superfamily phenomena and motifs of networks induced from time series

(2008) X. Xu et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

From time series to complex networks: The visibility graph

(2008) Lucas Lacasa et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Complex network-based time series analysis

(2007) Yue Yang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS