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Response of the competitive balance model to the external field

Author

Listed:
  • Farideh Oloomi
  • Amir Kargaran
  • Ali Hosseiny
  • Gholamreza Jafari

Abstract

The competitive balance model was proposed as an extension of the structural balance theory, aiming to account for heterogeneities observed in real-world networks. In this model, different paradigms lead to form different friendship and enmity. As an example, friendship or enmity between countries can have a political or religious basis. The suggested Hamiltonian is symmetrical between paradigms. Our analyses show that a balanced state can be achieved if just one paradigm prevails in the network and the paradigm shift is possible only by imposing an external field. In this paper, we investigate the influence of the external field on the evolution of the network. We drive the mean-field solutions of the model and verify the accuracy of our analytical solutions by performing Monte-Carlo simulations. We observe that the external field breaks the symmetry of the system. The response of the system to this external field, contingent upon temperature, can be either paramagnetic or ferromagnetic. We observed a hysteresis behavior in the ferromagnetic regime. Once communities are formed based on a certain paradigm, then they resist change. We found that to avoid wasting energy we need to know the level of stochastic behavior in the network. Analogous to magnetic systems, we observe that susceptibility adheres to Curie’s law.

Suggested Citation

  • Farideh Oloomi & Amir Kargaran & Ali Hosseiny & Gholamreza Jafari, 2023. "Response of the competitive balance model to the external field," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-17, August.
  • Handle: RePEc:plo:pone00:0289543
    DOI: 10.1371/journal.pone.0289543
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    References listed on IDEAS

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    1. Krzysztof Kułakowski & Przemysław Gawroński & Piotr Gronek, 2005. "The Heider Balance: A Continuous Approach," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 707-716.
    2. Misra, Arkajyoti & Chakrabarti, Bikas K., 1997. "Spin-reversal transition in Ising model under pulsed field," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 510-518.
    3. Bahrami, Mohammad & Chinichian, Narges & Hosseiny, Ali & Jafari, Gholamreza & Ausloos, Marcel, 2020. "Optimization of the post-crisis recovery plans in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    4. Hosseiny, Ali & Absalan, Mohammadreza & Sherafati, Mohammad & Gallegati, Mauro, 2019. "Hysteresis of economic networks in an XY model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 644-652.
    5. Ali Hosseiny & Mohammad Bahrami & Antonio Palestrini & Mauro Gallegati, 2016. "Metastable Features of Economic Networks and Responses to Exogenous Shocks," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-22, October.
    6. Andres M Belaza & Kevin Hoefman & Jan Ryckebusch & Aaron Bramson & Milan van den Heuvel & Koen Schoors, 2017. "Statistical physics of balance theory," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-19, August.
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