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Opinion dynamics and synchronization in a network of scientific collaborations

Author

Listed:
  • Pluchino, Alessandro
  • Boccaletti, Stefano
  • Latora, Vito
  • Rapisarda, Andrea

Abstract

In this paper we discuss opinion dynamics in the opinion changing rate (OCR) model, recently proposed in Pluchino et al. [Int. J. Mod. Phys. C 16(4) (2005) 515–531]. The OCR model allows to study whether and how a group of social agents, with a different intrinsic tendency (rate) to change opinion, finds agreement. In particular, we implement the OCR model on a small graph describing the topology of a real social system. The nodes of the graph are scientists participating in the Tepoztlán conference, celebrating Alberto Robledo's 60th birthday, and the links are based on coauthorship in scientific papers. We study how opinions evolve in time according to the frequency rates of the nodes, to the coupling term, and also to the presence of group structures.

Suggested Citation

  • Pluchino, Alessandro & Boccaletti, Stefano & Latora, Vito & Rapisarda, Andrea, 2006. "Opinion dynamics and synchronization in a network of scientific collaborations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 372(2), pages 316-325.
    • Handle: RePEc:eee:phsmap:v:372:y:2006:i:2:p:316-325
    DOI: 10.1016/j.physa.2006.08.016
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    Citations

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    Cited by:

    1. Thounaojam, Umeshkanta Singh & Manchanda, Kaustubh, 2023. "Continuous and explosive synchronization of phase oscillators on star network: Effect of degree-frequency correlations and time-delays," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    2. Kalloniatis, Alexander C. & McLennan-Smith, Timothy A. & Roberts, Dale O., 2020. "Modelling distributed decision-making in Command and Control using stochastic network synchronisation," European Journal of Operational Research, Elsevier, vol. 284(2), pages 588-603.
    3. Leifeld, Philip, 2018. "Polarization in the social sciences: Assortative mixing in social science collaboration networks is resilient to interventions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 510-523.
    4. Hossein Ghorban, Samira & Baharifard, Fatemeh & Hesaam, Bardyaa & Zarei, Mina & Sarbazi-Azad, Hamid, 2021. "Linearization error in synchronization of Kuramoto oscillators," Applied Mathematics and Computation, Elsevier, vol. 411(C).
    5. Cullen, Andrew C. & Alpcan, Tansu & Kalloniatis, Alexander C., 2022. "Adversarial decisions on complex dynamical systems using game theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    6. Huang, Changwei & Luo, Yijun & Han, Wenchen, 2023. "Cooperation and synchronization in evolutionary opinion changing rate games," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    7. Kalloniatis, Alexander C. & Zuparic, Mathew L., 2016. "Fixed points and stability in the two-network frustrated Kuramoto model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 21-35.

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