Examinando por Autor "Aguirre, Jacobo"

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Characterization of the local instability in the Hénon–Heiles Hamiltonian
(Elsevier, 2003-03-07) Vallejo, Juan C; Aguirre, Jacobo; Sanjuán, Miguel A.F.
Several prototypical distributions of finite-time Lyapunov exponents have been computed for the two-dimensional Hénon– Heiles Hamiltonian system. Different shapes are obtained for each dynamical state. Even when an evolution is observed in the morphology of the distributions for the smallest integration intervals, they can still serve for characterizing the dynamical state of the system.
Taming out-of-equilibrium dynamics on interconnected networks
(Nature Research, 2019-11-22) Buldú, Javier M.; Pablo-Martí, Federico; Aguirre, Jacobo
A wide variety of social, biological or technological systems can be described as processes taking place on networked structures in continuous interaction with other networks. We propose here a new methodology to describe, anticipate and manage, in real time, the out-of- equilibrium dynamics of processes that evolve on interconnected networks. This goal is achieved through the full analytical treatment of the phenomenology and its reduction to a two-dimensional flux diagram, allowing us to predict at every time step the dynamical con- sequences of modifying the links between the different ensembles. Our results are consistent with real data and the methodology can be translated to clustered networks and/or inter- connected networks of any size, topology or origin, from the struggle for knowledge on innovation structures to international economic relations or disease spreading on social groups.
The resumption of sports competitions after COVID-19 lockdown: The case of the Spanish football league
(Elsevier, 2020-09) Buldú, Javier M.; Antequera, Daniel R.; Aguirre, Jacobo
In this work, we present a stochastic discrete-time SEIR Susceptible- Exposed-Infectious-Recovered model adapted to describe the propagation of COVID-19 during a football tournament. Specifically, we are concerned about the re-start of the Spanish national football league, La Liga, which is currently –May 2020– stopped with 11 fixtures remaining. Our model includes two additional states of an individual, confined and quarantined, which are reached when an individual presents COVID-19 symptoms or has undergone a virus test with a positive result. The model also accounts for the interaction dynamics of players, considering three different sources of infection: the player social circle, the contact with his/her team colleagues during training sessions, and the interaction with rivals during a match. Our results highlight the dramatic influence of the days between matches, the fre- quency of virus tests and their sensitivity on the number of players infected at the end of the season. Following our findings, we finally present a variety of strategies to minimize the probability that COVID-19 propagates in case the season of La Liga was re-started after the current lockdown.