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How synchronized human networks escape local minima

Author

Listed:
  • Elad Shniderman

    (Technion - Israel Institute of Technology)

  • Yahav Avraham

    (Bar Ilan University
    Bar Ilan University)

  • Shir Shahal

    (Bar Ilan University
    Bar Ilan University)

  • Hamootal Duadi

    (Bar Ilan University
    Bar Ilan University)

  • Nir Davidson

    (Weizmann Institute of Science)

  • Moti Fridman

    (Bar Ilan University
    Bar Ilan University)

Abstract

Finding the global minimum in complex networks while avoiding local minima is challenging in many types of networks. In human networks and communities, adapting and finding new stable states amid changing conditions due to conflicts, climate changes, or disasters, is crucial. We studied the dynamics of complex networks of violin players and observed that such human networks have different methods to avoid local minima than other non-human networks. Humans can change the coupling strength between them or change their tempo. This leads to different dynamics than other networks and makes human networks more robust and better resilient against perturbations. We observed high-order vortex states, oscillation death, and amplitude death, due to the unique dynamics of the network. This research may have implications in politics, economics, pandemic control, decision-making, and predicting the dynamics of networks with artificial intelligence.

Suggested Citation

  • Elad Shniderman & Yahav Avraham & Shir Shahal & Hamootal Duadi & Nir Davidson & Moti Fridman, 2024. "How synchronized human networks escape local minima," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53540-7
    DOI: 10.1038/s41467-024-53540-7
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    References listed on IDEAS

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    1. Marco Alberto Javarone & Daniele Marinazzo, 2017. "Evolutionary dynamics of group formation," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-10, November.
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