How synchronized human networks escape local minima

Elad Shniderman, Yahav Avraham, Shir Shahal, Hamootal Duadi, Nir Davidson and Moti Fridman ()
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Elad Shniderman: Technion - Israel Institute of Technology
Yahav Avraham: Bar Ilan University
Shir Shahal: Bar Ilan University
Hamootal Duadi: Bar Ilan University
Nir Davidson: Weizmann Institute of Science
Moti Fridman: Bar Ilan University

Nature Communications, 2024, vol. 15, issue 1, 1-8

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-53540-7

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