Complex systems and data analysis
Many real-world systems, constituted by nonlinear interacting units, are modelled by networks (or graphs) in which the nodes represent the units and the links represent the interactions among them. These interactions are often only partially known, and we are interested in developing appropriated tools for inferring the network structure, from observed data. Typically, only limited (and noisy) data is available. We are also interested in characterizing the networks inferred from data (for the identification of regime transitions, for uncovering the community structure of highly inter-related nodes, etc.).
We are also working in interdisciplinary applications:
-Climatological time-series: we use nonlinear data analysis tools to infer climatic interactions and signatures of changes in atmospheric dynamics.
- Biomedical images: we use the network approach to develop novel tools for image classification and analysis.
Book: Networks in Climate (H. A. Dijkstra, E. Hernandez-Garcia, C. Masoller and M. Barreiro, Cambridge University Press 2019, ISBN: 9781316275757)
D. A. Zappala, M. Barreiro, C. Masoller
Chaos 30, 011103 (2020).
I. Leyva and C. Masoller
Chaos, Solitons and Fractals 133 109604 (2020). Arxiv: 2001.08195
P. Amil, F. Reyes-Manzano, L. Guzmán-Vargas, I. Sendiña-Nadal, C. Masoller.
PLoS ONE 14, e0220132 (2019).
P. Amil, N. Almeira, C. Masoller
Front. Phys. 7, 194 (2019).
L. C. Carpi, T. A. Schieber, P. M. Pardalos, G. Marfany, C. Masoller, A. Díaz-Guilera, M. G. Ravetti
Sci. Rep. 9, 4511 (2019).
D. A. Zappala, M. Barreiro, and C. Masoller
Earth System Dynamics 9, 383 (2018). Supplementary information
C. Quintero-Quiroz, L. Montesano, A. J. Pons, M. C. Torrent, J. García-Ojalvo, C. Masoller
Chaos 28, 106307 (2018). arXiv: 1805.0393
Ministerio de Ciencia, Innovación y Universidades, PGC2018-099443-B-I00
Quantifying changes in surface air temperature dynamics during the last 30 years (D. Zappala et al., Earth System Dynamics 2018).
Hilbert analysis of surface air temperature. Watch the video of how seasons evolve during a normal year, a El Niño year and a La Niña year (temporal evolution of the cosine of the Hilbert phase, D. Zappala et al., Chaos 2020).
Fundus image and extracted tree-like network (P. Amil et al., Plos One 2019).
Characterization of the eyes closed- eyes open transition in EEG signals (Quintero-Quiroz et al, Chaos 2018).