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Synchronization of complex human networks

Author

Listed:
  • Shir Shahal

    (Bar-Ilan University)

  • Ateret Wurzberg

    (Bar-Ilan University)

  • Inbar Sibony

    (Bar-Ilan University)

  • Hamootal Duadi

    (Bar-Ilan University)

  • Elad Shniderman

    (Stony Brook University)

  • Daniel Weymouth

    (Stony Brook University)

  • Nir Davidson

    (Weizmann Institute of Science)

  • Moti Fridman

    (Bar-Ilan University)

Abstract

The synchronization of human networks is essential for our civilization and understanding its dynamics is important to many aspects of our lives. Human ensembles were investigated, but in noisy environments and with limited control over the network parameters which govern the network dynamics. Specifically, research has focused predominantly on all-to-all coupling, whereas current social networks and human interactions are often based on complex coupling configurations. Here, we study the synchronization between violin players in complex networks with full and accurate control over the network connectivity, coupling strength, and delay. We show that the players can tune their playing period and delete connections by ignoring frustrating signals, to find a stable solution. These additional degrees of freedom enable new strategies and yield better solutions than are possible within current models such as the Kuramoto model. Our results may influence numerous fields, including traffic management, epidemic control, and stock market dynamics.

Suggested Citation

  • Shir Shahal & Ateret Wurzberg & Inbar Sibony & Hamootal Duadi & Elad Shniderman & Daniel Weymouth & Nir Davidson & Moti Fridman, 2020. "Synchronization of complex human networks," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17540-7
    DOI: 10.1038/s41467-020-17540-7
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    Cited by:

    1. Guy Amichay & Liang Li & Máté Nagy & Iain D. Couzin, 2024. "Revealing the mechanism and function underlying pairwise temporal coupling in collective motion," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Bayani, Atiyeh & Alexander, Prasina & Azarnoush, Hamed & Rajagopal, Karthikeyan & Jafari, Sajad & Nazarimehr, Fahimeh, 2023. "Designing networks with specific synchronization transitions independent of the system’s dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).

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