Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Martínez, Johann H."'
Autor:
Abella, David, Martínez, Johann H., Mazzoli, Mattia, Corre, Thibault Le, Migozzi, Julien, Alonso-Paulí, Eduard, Crespí-Cladera, Rafel, Louail, Thomas, Ramasco, José J.
The real estate market shows an inherent connection to space. Real estate agencies unevenly operate and specialize across space, price and type of properties, thereby segmenting the market into submarkets. We introduce here a methodology based on mul
Externí odkaz:
http://arxiv.org/abs/2405.08398
During the last years, statistical physics has received an increasing attention as a framework for the analysis of real complex systems; yet, this is less clear in the case of international political events, partly due to the complexity in securing r
Externí odkaz:
http://arxiv.org/abs/2203.07403
Countries globally trade with tons of waste materials every year, some of which are highly hazardous. This trade admits a network representation of the world-wide waste web, with countries as vertices and flows as directed weighted edges. Here we inv
Externí odkaz:
http://arxiv.org/abs/2104.05711
Autor:
Novillo, Álvaro, Gong, Bingnan, Martínez, Johann H., Resta, Ricardo, del Campo, Roberto López, Buldú, Javier M.
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena January 2024 178
Autor:
Chavez, Mario, Martinez, Johann H.
Although classical spectral analysis is a natural approach to characterise linear systems, it cannot describe a chaotic dynamics. Here, we propose the ordinal spectrum, a method based on a spectral transformation of symbolic sequences, to characteris
Externí odkaz:
http://arxiv.org/abs/2009.02547
We introduce a new methodology to analyze the evolution of epidemic time series, which is based on the construction of epidemic networks. First, we translate the time series into ordinal patterns containing information about local fluctuations of the
Externí odkaz:
http://arxiv.org/abs/1911.05646
Autor:
Echegoyen, Ignacio, Vera-Ávila, Victor, Sevilla-Escoboza, Ricardo, Martínez, Johann H., Buldú, Javier M.
We introduce Ordinal Synchronization ($OS$) as a new measure to quantify synchronization between dynamical systems. $OS$ is calculated from the extraction of the ordinal patterns related to two time series, their transformation into $D$-dimensional o
Externí odkaz:
http://arxiv.org/abs/1809.07308
Time irreversibility is a common signature of nonlinear processes, and a fundamental property of non-equilibrium systems driven by non-conservative forces. A time series is said to be reversible if its statistical properties are invariant regardless
Externí odkaz:
http://arxiv.org/abs/1809.04377
The way the topological structure goes from a decoupled state into a coupled one in multiplex networks has been widely studied by means of analytical and numerical studies, involving models of artificial networks. In general, these experiments assume
Externí odkaz:
http://arxiv.org/abs/1805.08711
Autor:
Martínez, Johann H., Chavez, Mario
To improve our understanding of connected systems, different tools derived from statistics, signal processing, information theory and statistical physics have been developed in the last decade. Here, we will focus on the graph comparison problem. Alt
Externí odkaz:
http://arxiv.org/abs/1804.07533