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Álvaro Corral

Researcher at Autonomous University of Barcelona

Publications -  111
Citations -  3699

Álvaro Corral is an academic researcher from Autonomous University of Barcelona. The author has contributed to research in topics: Power law & Zipf's law. The author has an hindex of 31, co-authored 109 publications receiving 3339 citations. Previous affiliations of Álvaro Corral include University of Copenhagen & Niels Bohr Institute.

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Long-term clustering, scaling, and universality in the temporal occurrence of earthquakes

TL;DR: Analyzing diverse seismic catalogs, it is determined that the probability densities of the earthquake recurrence times for different spatial areas and magnitude ranges can be described by a unique universal distribution if the time is rescaled with the rate of seismic occurrence, which fully governs seismicity.
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Statistical Similarity between the Compression of a Porous Material and Earthquakes

TL;DR: In this paper, the authors studied the acoustic emission events produced during the compression of Vycor (SiO(2)) and found that the Gutenberg-Richter law, modified Omori's law, and the law of aftershock productivity hold for a minimum 5 decades, are independent of the compression rate, and keep stationary for all the duration of the experiments.
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Local distributions and rate fluctuations in a unified scaling law for earthquakes.

TL;DR: A recently proposed unified scaling law for interoccurrence times of earthquakes is analyzed, both theoretically and with data from Southern California, and fluctuations of the rate show a double power-law distribution and are fundamental to determine the overall behavior.
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Measuring the Evolution of Contemporary Western Popular Music

TL;DR: A number of patterns and metrics characterizing the generic usage of primary musical facets such as pitch, timbre, and loudness in contemporary western popular music, consistently stable for a period of more than fifty years are unveiled.
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Fitting and Goodness-of-Fit Test of Non-Truncated and Truncated Power-Law Distributions

TL;DR: In this article, Clauset, Shalizi, and Newman have proposed a systematic method to find over which range (if any) a certain distribution behaves as a power law, but their method has been found to fail, in the sense that true (simulated) power-law tails are not recognized as such in some instances, and then the power law hypothesis is rejected.