67 citations · 208 across the 18 of their papers we have counts for
19 papers
Unsupervised Machine Learning of the Contact Process
L. T. Brito, G. A. Alves, F. W. S. Lima +3
We investigate how unsupervised machine-learning methods can characterize the active-absorbing phase transition in the contact process in one and two spatial dimensions. Our analys…
Supervised and Unsupervised Deep Learning Applied to the Majority Vote Model
J. F. Silva Neto, D. S. M. Alencar, L. T. Brito +5
We employ deep learning techniques to investigate the critical properties of the continuous phase transition in the majority vote model. In addition to deep learning, principal com…
Kinetic Flat-Histogram Simulations of Non-Equilibrium Stochastic Processes with Continuous and Discontinuous Phase Transitions
L. M. C. Alencar, T. F. A. Alves, G. A. Alves +3
As far as we know, there is no flat-histogram algorithm to sample the stationary distribution of non-equilibrium stochastic processes. The present work addresses this gap by introd…
Generalized Diffusive Epidemic Process with Permanent Immunity in Two Dimensions
V. R. Carvalho, T. F. A. Alves, G. A. Alves +4
We introduce the generalized diffusive epidemic process, which is a metapopulation model for an epidemic outbreak where a non-sedentary population of walkers can jump along lattice…
Social dilemmas, network reciprocity and the small-world property
F. B. Pereira, R. S. Ferreira, D. S. M. Alencar +4
We revisit two evolutionary game theory models, namely the Prisoner and the Snowdrift dilemmas, on top of small-world networks. These dynamics on networked populations (individuals…
Critical Short-Time Behavior of Majority-Vote Model on Scale-Free Networks
D. S. M. Alencar, J. F. S. Neto, T. F. A. Alves +4
We discuss the short-time behavior of the majority vote dynamics on scale-free networks at the critical threshold. We introduce a heterogeneous mean-field theory on the critical sh…