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Biswas-Chatterjee-Sen Model on Solomon Networks with Two Three-Dimensional Lattices
Gessineide Sousa Oliveira1, Tayroni Alencar Alves1, Gladstone Alencar Alves2
1Dietrich Stauffer Computational Physics Laboratory, Departamento de Física, Universidade Federal do Piauí, Teresina 64049-550, PI, Brazil.
The Biswas-Chatterjee-Sen model shows a second-order phase transition in 3D Solomon networks. Its critical exponents indicate a unique universality class, distinct from lower dimensions and the Ising model.
Area of Science:
- Statistical Physics
- Complex Systems
- Computational Physics
Background:
- The Biswas-Chatterjee-Sen (BChS) model is a key framework for understanding opinion dynamics.
- Investigating opinion dynamics on complex network structures is crucial for social science and physics.
- Previous studies have explored the BChS model on various network dimensions.
Purpose of the Study:
- To analyze the opinion dynamics of the BChS model on three-dimensional Solomon networks.
- To determine the nature of the phase transition and calculate critical exponents.
- To compare the universality class of the 3D BChS model with its lower-dimensional counterparts and the Ising model.
Main Methods:
- Extensive Monte Carlo simulations were employed to study the BChS model.
- Finite-size scaling relations were utilized to extrapolate system properties to the thermodynamic limit.
- Critical exponents for the order parameter, susceptibility, and correlation length were evaluated at the transition point.
Main Results:
- The BChS model on 3D Solomon networks exhibits a second-order phase transition.
- Critical exponents were successfully calculated at the phase transition point.
- The evaluated exponents suggest a distinct behavior compared to 1D and 2D networks.
Conclusions:
- The BChS model in three dimensions belongs to a different universality class.
- This 3D universality class is distinct from the BChS model on 1D and 2D Solomon networks.
- The 3D BChS model also resides in a different universality class compared to the Ising model on the same networks.
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