Prof. Dr. Jesús Gomez Gardeñes

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Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2014 in Physics Reports

Journal Article

The structure and dynamics of multilayer networks

6 March 2013 in Journal of The Royal Society Interface

Journal Article

Evolutionary dynamics of group interactions on structured populations: a review

Luis M. Floría

Interactions among living organisms, from bacteria colonies to human societies, are inherently more complex than interactions among particles and non-living matter. Group interactions are a particularly important and widespread class, representative of which is the public goods game. In addition, methods of statistical physics have proved valuable for studying pattern formation, equilibrium selection and self-organization in evolutionary games. Here, we review recent advances in the study of evolutionary dynamics of group interactions on top of structured populations, including lattices, complex networks and coevolutionary models. We also compare these results with those obtained on well-mixed populations. The review particularly highlights that the study of the dynamics of group interactions, like several other important equilibrium and non-equilibrium dynamical processes in biological, economical and social sciences, benefits from the synergy between statistical physics, network science and evolutionary game theory.

8 January 2013 in Physical Review Letters

Journal Article

Diffusion Dynamics on Multiplex Networks

C. J. Pérez-Vicente

We study the time scales associated with diffusion processes that take place on multiplex networks, i.e., on a set of networks linked through interconnected layers. To this end, we propose the construction of a supra-Laplacian matrix, which consists of a dimensional lifting of the Laplacian matrix of each layer of the multiplex network. We use perturbative analysis to reveal analytically the structure of eigenvectors and eigenvalues of the complete network in terms of the spectral properties of the individual layers. The spectrum of the supra-Laplacian allows us to understand the physics of diffusionlike processes on top of multiplex networks.

23 March 2011 in Physical Review Letters

Journal Article

Explosive Synchronization Transitions in Scale-Free Networks

Explosive collective phenomena have attracted much attention since the discovery of an explosive percolation transition. In this Letter, we demonstrate how an explosive transition shows up in the synchronization of scale-free networks by incorporating a microscopic correlation between the structural and the dynamical properties of the system. The characteristics of the explosive transition are analytically studied in a star graph reproducing the results obtained in synthetic networks. Our findings represent the first abrupt synchronization transition in complex networks and provide a deeper understanding of the microscopic roots of explosive critical phenomena.

27 February 2013 in Scientific Reports

Journal Article

Emergence of network features from multiplexity

Miguel Romance

Stefano Boccaletti

Many biological and man-made networked systems are characterized by the simultaneous presence of different sub-networks organized in separate layers, with links and nodes of qualitatively different types. While during the past few years theoretical studies have examined a variety of structural features of complex networks, the outstanding question is whether such features are characterizing all single layers, or rather emerge as a result of coarse-graining, i.e. when going from the multilayered to the aggregate network representation. Here we address this issue with the help of real data. We analyze the structural properties of an intrinsically multilayered real network, the European Air Transportation Multiplex Network in which each commercial airline defines a network layer. We examine how several structural measures evolve as layers are progressively merged together. In particular, we discuss how the topology of each layer affects the emergence of structural properties in the aggregate network.

7 March 2007 in Physical Review Letters

Journal Article

Dynamical Organization of Cooperation in Complex Topologies

Jesús Gomez Gardeñes

M. Campillo

L. M. Floría

Yamir Moreno

In this Letter, we study how cooperation is organized in complex topologies by analyzing the evolutionary (replicator) dynamics of the prisoner’s dilemma, a two-player game with two available strategies, defection and cooperation, whose payoff matrix favors defection. We show that, asymptotically, the population is partitioned into three subsets: individuals that always cooperate (pure cooperators), always defect (pure defectors), and those that intermittently change their strategy. In fact, the size of the later set is the biggest for a wide range of the “stimulus to defect” parameter. While in homogeneous random graphs pure cooperators are grouped into several clusters, in heterogeneous scale-free (SF) networks they always form a single cluster containing the most connected individuals (hubs). Our results give further insights into why cooperation in SF networks is enhanced.

About Me

Jesus Gomez-Gardeñes received a Bachelor's degree in Physics from the University of Zaragoza, Spain, in 2002, and a Ph.D. in Physics from the same university in 2006 and was awarded “Premio Extraordinario”. After, he continued his postdoctoral studies at the Scuola Superiore di Catania (Italy) and the Universitat Rovira i Virgili (Tarragona) for two years as a “Juan de la Cierva” researcher. Later, he joined the Applied Mathematics Department of the University Rey Juan Carlos (Madrid) as an Assistant Professor until the end of 2010. In January 2011, he returned to his alma mater, the University of Zaragoza, as “Ramón y Cajal” senior researcher, where he has been a Full Professor since April 2023 and leads the GOTHAM lab at the Institute of Biocomputation and Physics of Complex System (BIFI). He has been a Research Fellow of the Center for Computational Social Science (University of Kobe, Japan) since 2019. He is interested in the study of Complex Systems using Network Science, Statistical Physics, and Nonlinear Dynamics tools. His work focuses on different applications and disciplines such as Epidemics, Synchronization, and Evolutionary Dynamics.

Prof. Dr. Jesús Gomez Gardeñes

Prof. Dr. Jesús Gomez Gardeñes

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