813 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centro Brasileiro de Pesquisas FísicasBR57 papers
- Santa Fe InstituteUS33 papers
- Pontifícia Universidade Católica do Rio de JaneiroBR24 papers
- Universidade Federal FluminenseBR21 papers
- Universidade de São PauloBR20 papers
- Instituto de Física de São CarlosBR11 papers
- Universidade Federal de ViçosaBR11 papers
- Universidade Federal do Rio Grande do SulBR11 papers
- Consejo Nacional de Investigaciones Científicas y TécnicasAR8 papers
- Conselho Nacional de Desenvolvimento Científico e TecnológicoBR8 papers
- Universidade Estadual de MaringáBR8 papers
- Complexity Science HubAT7 papers
11 papers · 1 filter
Nature of the collapse transition in interacting self-avoiding trails
Tiago J. Oliveira, Jurgen F. Stilck
We study the interacting self-avoiding trail (ISAT) model on a Bethe lattice of general coordination and on a Husimi lattice built with squares and coordination . The exac…
Role of dimensionality in complex networks: Connection with nonextensive statistics
S. G. A. Brito, L. R. da Silva, Constantino Tsallis
Deep connections are known to exist between scale-free networks and non-Gibbsian statistics. For example, typical degree distributions at the thermodynamical limit are of the form…
Sensitivity to initial conditions of a -dimensional long-range-interacting quartic Fermi-Pasta-Ulam model: Universal scaling
Debarshee Bagchi, Constantino Tsallis
We introduce a generalized -dimensional Fermi-Pasta-Ulam (FPU) model in presence of long-range interactions, and perform a first-principle study of its chaos for throu…
Tunable multiple Fano resonances in magnetic single-layered core-shell particles
Tiago Jose Arruda, Alexandre Souto Martinez, Felipe Arruda Pinheiro
We investigate multiple Fano, comblike scattering resonances in single-layered, concentric core-shell nanoparticles composed of magnetic materials. Using the Lorenz-Mie theory, we…
Scale-adjusted metrics for predicting the evolution of urban indicators and quantifying the performance of cities
Luiz G. A. Alves, Renio S. Mendes, Ervin K. Lenzi +1
More than a half of world population is now living in cities and this number is expected to be two-thirds by 2050. Fostered by the relevancy of a scientific characterization of cit…
A new entropy based on a group-theoretical structure
Evaldo M. F. Curado, Piergiulio Tempesta, Constantino Tsallis
A multi-parametric version of the nonadditive entropy is introduced. This new entropic form, denoted by , possesses many interesting statistical properties, and…
On the robustness of the -Gaussian family
Gabriele Sicuro, Piergiulio Tempesta, Antonio Rodríguez +1
We introduce three deformations, called -, - and -deformation respectively, of a -body probabilistic model, first proposed by Rodríguez et al. (2008), having -Gaussi…
Inflexibility and independence: Phase transitions in the majority-rule model
Nuno Crokidakis, Paulo Murilo Castro de Oliveira
In this work we study opinion formation in a population participating of a public debate with two distinct choices. We considered three distinct mechanisms of social interactions a…
Search for a Lorentz invariant velocity distribution of a relativistic gas
Evaldo M. F. Curado, Felipe T. L. Germani, Ivano Damiao Soares
We examine numerically and analytically the problem of the relativistic velocity distribution in a 1-dim relativistic gas in thermal equilibrium. Our derivation is based on the spe…
Paradoxical probabilistic behavior for strongly correlated many-body classical systems
Max Jauregui, Constantino Tsallis
Using a simple probabilistic model, we illustrate that a small part of a strongly correlated many-body classical system can show a paradoxical behavior, namely asymptotic stochasti…
The standard map: From Boltzmann-Gibbs statistics to Tsallis statistics
Ugur Tirnakli, Ernesto P. Borges
As well known, Boltzmann-Gibbs statistics is the correct way of thermostatistically approaching ergodic systems. On the other hand, nontrivial ergodicity breakdown and strong corre…