Annealing approximation in master-node network model

Fuente: arXiv
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Main Authors: Hase, M. O., Ferreira, Anderson A., Martins, André C. R., Ferreira, Fernando F.
Format: Preprint
Published: 2025
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author Hase, M. O.
Ferreira, Anderson A.
Martins, André C. R.
Ferreira, Fernando F.
author_facet Hase, M. O.
Ferreira, Anderson A.
Martins, André C. R.
Ferreira, Fernando F.
contents This paper investigates absorbing-state phase transitions in opinion dynamics through a master-node network model analyzed using annealing approximation. We develop a theoretical framework examining three fundamental regimes: systems converging to complete disagreement, complete consensus, or both states depending on initial conditions. The phase behavior is governed by two key chiral parameters: $R$ measuring right-oriented influence and $L$ measuring left-oriented influence in the network interactions. Our analysis reveals a rich phase diagram featuring both continuous and discontinuous transitions between disordered and ordered phases. The discontinuous transition emerges in systems with two absorbing states, where the final configuration depends critically on initial opinion distributions. The annealing approximation provides fundamental insights into how asymmetric social influences (chirality) shape collective opinion formation, acting as a symmetry-breaking element that drives the system toward polarization or consensus.
format Preprint
id arxiv_https___arxiv_org_abs_2505_03150
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Annealing approximation in master-node network model
Hase, M. O.
Ferreira, Anderson A.
Martins, André C. R.
Ferreira, Fernando F.
Physics and Society
Statistical Mechanics
This paper investigates absorbing-state phase transitions in opinion dynamics through a master-node network model analyzed using annealing approximation. We develop a theoretical framework examining three fundamental regimes: systems converging to complete disagreement, complete consensus, or both states depending on initial conditions. The phase behavior is governed by two key chiral parameters: $R$ measuring right-oriented influence and $L$ measuring left-oriented influence in the network interactions. Our analysis reveals a rich phase diagram featuring both continuous and discontinuous transitions between disordered and ordered phases. The discontinuous transition emerges in systems with two absorbing states, where the final configuration depends critically on initial opinion distributions. The annealing approximation provides fundamental insights into how asymmetric social influences (chirality) shape collective opinion formation, acting as a symmetry-breaking element that drives the system toward polarization or consensus.
title Annealing approximation in master-node network model
topic Physics and Society
Statistical Mechanics
url https://arxiv.org/abs/2505.03150