output
20022026
most citedMultilayer Networks

3.2k citations

Showing 2020Show all

19 papers · 1 filter

cond-mat.stat-mech2020★ 21 cited

Thermal buckling and symmetry breaking in thin ribbons under compression

Paul Z. Hanakata, Sourav S. Bhabesh, Mark J. Bowick +2

Understanding thin sheets, ranging from the macro to the nanoscale, can allow control of mechanical properties such as deformability. Out-of-plane buckling due to in-plane compress…

cond-mat.dis-nn2020★ 31 cited

Temperature chaos is present in off-equilibrium spin-glass dynamics

Janus Collaboration, M. Baity-Jesi, E. Calore +22

We find a dynamic effect in the non-equilibrium dynamics of a spin glass that closely parallels equilibrium temperature chaos. This effect, that we name dynamic temperature chaos,…

cond-mat.stat-mech2020★ 1 cited

Scaling study of diffusion in dynamic crowded spaces

H. Bendekgey, G. Huber, D. Yllanes

We formulate a scaling theory for the long-time diffusive motion in a space occluded by a high density of moving obstacles in dimensions 1, 2 and 3. Our tracers diffuse anomalously…

cond-mat.stat-mech2020★ 26 cited

Scaling law describes the spin-glass response in theory, experiments and simulations

Q. Zhai, I. Paga, M. Baity-Jesi +24

The correlation length , a key quantity in glassy dynamics, can now be precisely measured for spin glasses both in experiments and in simulations. However, known analysis method…

physics.soc-ph2020★ 16 cited

The role of time scale in the spreading of asymmetrically interacting diseases

Paulo Cesar Ventura, Yamir Moreno, Francisco A. Rodrigues

Diseases and other contagion phenomena in nature and society can interact asymmetrically, such that one can benefit from the other, which in turn impairs the first, in analogy with…

math.ST2020★ 5 cited

Exact and asymptotic properties of -records in the linear drift model

Raúl Gouet, Miguel Lafuente, F. Javier López +1

The study of records in the Linear Drift Model (LDM) has attracted much attention recently due to applications in several fields. In the present paper we study -records in the L…

physics.soc-ph2020★ 9 cited

Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks

Guilherme Ferraz de Arruda, J. A. Méndez-Bermúdez, Francisco A. Rodrigues +1

Universal spectral properties of multiplex networks allow us to assess the nature of the transition between disease-free and endemic phases in the SIS epidemic spreading model. In…

physics.soc-ph2020★ 31 cited

Prediction of scientific collaborations through multiplex interaction networks

Marta Tuninetti, Alberto Aleta, Daniela Paolotti +2

Link prediction algorithms can help to understand the structure and dynamics of scientific collaborations and the evolution of Science. However, available algorithms based on simil…

cs.SI2020★ 2 cited

Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences

Ignacio Tamarit, María Pereda, José A. Cuesta

When some 'entities' are related by the 'features' they share they are amenable to a bipartite network representation. Plant-pollinator ecological communities, co-authorship of sci…

q-bio.PE2020★ 166 cited

Predictability: Can the turning point and end of an expanding epidemic be precisely forecast?

Mario Castro, Saúl Ares, José A. Cuesta +1

No, they can't. Epidemic spread is characterized by exponentially growing dynamics, which are intrinsically unpredictable. The time at which the growth in the number of infected in…

physics.chem-ph2020★ 13 cited

Entropy and canonical ensemble of hybrid quantum classical systems

J. L. Alonso, C. Bouthelier, A. Castro +2

In this work we generalize and combine Gibbs and von Neumann approaches to build, for the first time, a rigorous definition of entropy for hybrid quantum-classical systems. The res…

cond-mat.mes-hall2020★ 15 cited

Experimental evidence of spin-orbit torque from metallic interfaces

A. Anadón, R. Guerrero, J. A. Jover-Galtier +6

Spin currents can modify the magnetic state of ferromagnetic ultrathin films through spin-orbit torque. They may be generated by means of spin-orbit interaction by either bulk or i…

physics.soc-ph2020★ 39 cited

Data-driven contact structures: from homogeneous mixing to multilayer networks

Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno

The modeling of the spreading of communicable diseases has experienced significant advances in the last two decades or so. This has been possible due to the proliferation of data a…

cond-mat.dis-nn2020★ 2 cited

Transition between anomalous and Anderson localization in systems with non-diagonal disorder driven by time-periodic fields

Rafael A. Molina, Victor A. Gopar

In models of hopping disorder in the absence of external fields and at the band center, the electrons are less localized in space than the standard exponential Anderson localizatio…

hep-ph2020★ 8 cited

Data Driven Flavour Model

F. Arias-Aragon, C. Bouthelier-Madre, J. M. Cano +1

A bottom-up approach has been adopted to identify a flavour model that agrees with present experimental measurements. The charged fermion mass hierarchies suggest that only the top…

cond-mat.dis-nn2020★ 29 cited

On the Slowing Down of Spin Glass Correlation Length Growth:simulations meet experiments

Q. Zhai, V. Martin-Mayor, D. L. Schlagel +2

The growth of the spin-glass correlation length has been measured as a function of the waiting time on a single crystal of CuMn (6 at.\%), reaching values $ξ\sim 1…

q-bio.PE2020★ 110 cited

From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics

Susanna Manrubia, José A. Cuesta, Jacobo Aguirre +15

Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is arguably the next major missing piece in a fully predictive theory of evolution. We refer to t…

physics.soc-ph2020★ 578 cited

Evolutionary dynamics of higher-order interactions in social networks

Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda +3

We live and cooperate in networks. However, links in networks only allow for pairwise interactions, thus making the framework suitable for dyadic games, but not for games that are…

physics.soc-ph2020★ 10 cited

Quantifying Uncertainty in a Predictive Model for Popularity Dynamics

Joseph D. O'Brien, Alberto Aleta, Yamir Moreno +1

The Hawkes process has garnered attention in recent years for its suitability to describe the behavior of online information cascades. Here, we present a fully tractable approach t…