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Percolation-based precursors of transitions in extended systems

Rodriguez-Mendez, Victor; Eguiluz, Victor M.; Hernandez-Garcia, Emilio; Ramasco, Jose J.
Scientific Reports 6, 29552 (1-10) (2016)

Abrupt transitions are ubiquitous in the dynamics of complex systems. Finding early indicators of their arrival, precursors, is fundamental in many areas of science such as ecology, electrical engineering, physiology or climate. However, obtaining warnings of an approaching transition well in advance remains an elusive task. Here we show that a functional network, constructed from spatial correlations of the system's time series, experiences a percolation transition way before the actual system reaches a bifurcation point due to the collective phenomena leading to the global change. Concepts from percolation theory are then used to introduce early warning precursors that anticipate the system's tipping point. We illustrate the generality and versatility of our percolation-based framework with model systems experiencing different types of bifurcations and with Sea Surface Temperature time series associated to El Nino phenomenon.

DOI 10.1038/srep29552 
ArXiv Number 1601.01978 
Files percol_scirep2toArXiv.pdf (2778722 Bytes)
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Spanish National Research Council Universitat de les Illes Balears