Synchronization of complex human networks

Shir Shahal, Ateret Wurzberg, Inbar Sibony, Hamootal Duadi, Elad Shniderman, Daniel Weymouth, Nir Davidson and Moti Fridman ()
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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

Nature Communications, 2020, vol. 11, issue 1, 1-10

Abstract: 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.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-17540-7

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DOI: 10.1038/s41467-020-17540-7

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