Data-Driven Models and Analysis of Complex Systems - Now Online

Read these papers now View in Browser OUR JOURNALS MANAGE MY ALERTS ABOUT AIP PUBLISHING Chaos Special Topic: Data-Driven Models and Analysis of Complex Systems ALL ARTICLES > The 2021 Nobel prize in Physics emphasized the importance of studying complex systems to understand their emerging behaviors, including synchronization, chaos, and extreme events. These behaviors have been studied due to the fascinating patterns they create, possible catastrophic consequences, and the universality that bounds them. Despite coming from natural or man-made systems, these behaviors require no external or central control but depend on the structure of their interactions — the network. Moreover, with more precise data — often big data —, new models, methods, and machine learning techniques allow innovative studies of complex systems. This Focus Issue welcomes manuscripts that present new insights into complex systems, derived from computational or data-driven models, and the development of new data analysis methods to characterize collective behaviors or network structures. Guest Editors: Johann H. Martínez, Klaus Lehnertz, and Nicolás Rubido EDITORIALS  Introduction to Focus Issue: Data-driven models and analysis of complex systems Johann H. Martínez, Klaus Lehnertz, Nicolás Rubido READ MORE > FAST TRACK  Recovering Zipf's law in intercontinental scientific cooperation Malgorzata J. Krawczyk, Krzysztof Malarz READ MORE > Adaptable reservoir computing: A paradigm for model-free data-driven prediction of critical transitions in nonlinear dynamical systems Shirin Panahi, Ying-Cheng Lai READ MORE > REGULAR ARTICLES  Fourier phase index for extracting signatures of determinism and nonlinear features in time series Alberto Isaac Aguilar-Hernández, David Michel Serrano-Solis, Wady A. Ríos-Herrera, José Fernando Zapata-Berruecos, et al. READ MORE > High-frequency stock market order transitions during the US–China trade war 2018: A discrete-time Markov chain analysis Salam Rabindrajit Luwang, Anish Rai, Md. Nurujjaman, Om Prakash, et al. READ MORE > Characterization of stability of dynamic particle ensemble systems using topological data analysis Harihara Sudhan Kumar READ MORE > Predicting dynamic stability from static features in power grid models using machine learning Maurizio Titz, Franz Kaiser, Johannes Kruse, Dirk Witthaut READ MORE > Adaptive exponential integrate-and-fire model with fractal extension Diogo L. M. Souza, Enrique C. Gabrick, Paulo R. Protachevicz, Fernando S. Borges, et al. READ MORE > Chimeras and traveling waves in ensembles of Kuramoto oscillators off the Poisson manifold Aladin Crnkić, Vladimir Jaćimović READ MORE > Emergence of innovations in networked populations with reputation-driven interactions Pablo Gallarta-Sáenz, Hugo Pérez-Martínez, Jesús Gómez-Gardeñes READ MORE > Clustering coefficients for networks with higher order interactions Gyeong-Gyun Ha, Izaak Neri, Alessia Annibale READ MORE > Forecasting with an N-dimensional Langevin equation and a neural-ordinary differential equation Antonio Malpica-Morales, Miguel A. Durán-Olivencia, Serafim Kalliadasis READ MORE > Characterizing the spike timing of a chaotic laser by using ordinal analysis and machine learning Bruno R. R. Boaretto, Elbert E. N. Macau, Cristina Masoller READ MORE > Deep-learning reconstruction of complex dynamical networks from incomplete data Xiao Ding, Ling-Wei Kong, Hai-Feng Zhang, Ying-Cheng Lai READ MORE > Sleep-stage dependence and co-existence of cardio-respiratory coordination and phase synchronization Yaopeng J. X. Ma, Johannes Zschocke, Martin Glos, Maria Kluge, et al. READ MORE > Robustness of coupled networks with multiple support from functional components at different scales Gaogao Dong, Nannan Sun, Menglong Yan, Fan Wang, et al. READ MORE > Permutation entropy analysis of EEG signals for distinguishing eyes-open and eyes-closed brain states: Comparison of different approaches Juan Gancio, Cristina Masoller, Giulio Tirabassi READ MORE > Synchronization dynamics of phase oscillators on power grid models Max Potratzki, Timo Bröhl, Thorsten Rings, Klaus Lehnertz READ MORE > How representative are air transport functional complex networks? A quantitative validation Kishor Acharya, Felipe Olivares, Massimiliano Zanin READ MORE > Exploring the interplay of excitatory and inhibitory interactions in the Kuramoto model on circle topologies Albert Díaz-Guilera, Dimitri Marinelli, Conrad J. Pérez-Vicente READ MORE > From physiological complexity to data interactions—A case study of recordings from exercise monitoring Małgorzata Andrzejewska, Tomasz Wróblewski, Szymon Cygan, Mateusz Ozimek, et al. READ MORE > Collective behaviors of animal groups may stem from visual lateralization—Tending to obtain information through one eye Jian Gao, Changgui Gu, Yongshang Long, Xiyun Zhang, et al. READ MORE > Nonlinear spreading behavior across multi-platform social media universe Chenkai Xia, Neil F. Johnson READ MORE > Machine learning approach to detect dynamical states from recurrence measures Dheeraja Thakur, Athul Mohan, G. Ambika, Chandrakala Meena READ MORE > A multiscale symbolic approach to decoding delta and ripple oscillation bands as biomarkers for epileptiform discharges Mauro Granado, Santiago Collavini, Nataniel Martinez, Federico Miceli, et al. READ MORE > Non-trivial relationship between behavioral avalanches and internal neuronal dynamics in a recurrent neural network Anja Rabus, Maria Masoliver, Aaron J. Gruber, Wilten Nicola, et al. READ MORE > Intermittent-like synchronization and desynchronization phenomena in a Colpitts network model Victor E. Camargo, Patrick Louodop, Hilda A. Cerdeira, Fernando F. Ferreira READ MORE > A unified quantification of synchrony in globally coupled populations with the Wiener order parameter Arkady Pikovsky, Michael Rosenblum READ MORE > Basin entropy as an indicator of a bifurcation in a time-delayed system Juan P. Tarigo, Cecilia Stari, Cristina Masoller, Arturo C. Martí READ MORE > Identification of network interactions from time series data: An iterative approach Bharat Singhal, Shicheng Li, Jr-Shin Li READ MORE > On the validity of the state space correspondence strategy based on k-nearest neighbor cross-predictability in assessing directionality in stochastic systems: Application to cardiorespiratory coupling estimation Alberto Porta, Raphael Martins de Abreu, Vlasta Bari, Francesca Gelpi, et al. READ MORE > Stability mapping of bipartite tight-binding graphs with losses and gain: P T P T-symmetry and beyond C. T. Martínez-Martínez, L. A. Moreno-Rodriguez, J. A. Méndez-Bermúdez, Henri Benisty READ MORE > Nonlinear hydrological time series modeling to forecast river level dynamics in the Rio Negro Uruguay basin Johan S. Duque, Rafael Santos, Johny Arteaga, Ricardo S. Oyarzabal, et al. READ MORE > Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling Maria Mannone, Peppino Fazio, Norbert Marwan READ MORE > Integrated information decomposition unveils major structural traits of in silico and in vitro neuronal networks Gustavo Menesse, Akke Mats Houben, Jordi Soriano, Joaquín J. Torres READ MORE > Detecting local perturbations of networks in a latent hyperbolic embedding space A. Longhena, M. Guillemaud, M. Chavez READ MORE > Data-driven modeling of equatorial atmospheric waves: The role of moisture and nonlinearity on global-scale instabilities and propagation speeds André S. W. Teruya, Breno Raphaldini, Carlos F. M. Raupp, Pedro S. Peixoto, et al. READ MORE > Patterns and correlations in European electricity prices Julius Trebbien, Anton Tausendfreund, Leonardo Rydin Gorjão, Dirk Witthaut READ MORE > Climate network analysis of extreme events: Tropical cyclones Rupali Sonone, Neelima Gupte READ MORE > Phase coherence—A time-localized approach to studying interactions S. J. K. Barnes, J. Bjerkan, P. T. Clemson, J. Newman, et al. READ MORE > Model reduction of dynamical systems with a novel data-driven approach: The RC-HAVOK algorithm G. Yılmaz Bingöl, O. A. Soysal, E. Günay READ MORE > Model predictive complex system control from observational and interventional data Muyun Mou, Yu Guo, Fanming Luo, Yang Yu, et al. READ MORE > Composed solutions of synchronized patterns in multiplex networks of Kuramoto oscillators Priya B. Jain, Tung T. Nguyen, Ján Mináč, Lyle E. Muller, et al. READ MORE > Detecting disturbances in network-coupled dynamical systems with machine learning Per Sebastian Skardal, Juan G. Restrepo READ MORE > Topological data analysis of the synchronization of a network of Rössler chaotic electronic oscillators A. Zabaleta-Ortega, C. Masoller, L. Guzmán-Vargas READ MORE > Modeling language ideologies for the dynamics of languages in contact Pablo Rosillo-Rodes, Maxi San Miguel, David Sánchez READ MORE > Linear and nonlinear causality in financial markets Haochun Ma, Davide Prosperino, Alexander Haluszczynski, Christoph Räth READ MORE > Correlation dimension of high-dimensional and high-definition experimental time series Valeri A. Makarov, Ricardo Muñoz-Arnaiz, Oscar Herreras, Julia Makarova READ MORE > ERRATA  Publisher's Note: "Modeling a neurological disorder as the result of an operator acting on the brain: A first sketch based on network channel modeling" [Chaos 34, 053133 (2024)] Maria Mannone, Peppino Fazio, Norbert Marwan READ MORE > Follow us on social media Copyright © 2025 AIP Publishing. All rights reserved. 1305 Walt Whitman Rd., Melville, NY 11747 You are receiving this because you opted in to receive free content alerts from AIP Publishing. Please do not reply to this email, this email address is not monitored. If you no longer wish to receive emails from us then please unsubscribe or amend your settings. For technical assistance with this service, please contact help@aip.org. To reserve ad space or request further information on e-mail sponsorships, please email aipadvertising@wiley.com or visit publishing.aip.org/resources/commercial-partners/advertising-solutions/.