Work

How synchronized human networks escape local minima

Year: 2024

Type: article

Abstract: Finding the global minimum in complex networks while avoiding local minima is challenging in many types of networks. We study the dynamics of complex human networks and observed that humans have different methods to avoid local minima than other 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.

Source: Nature Communications

DOI: 10.1038/s41467-024-53540-7

Authors: Elad Shniderman, Yahav Avraham, Shir Shahal, Hamootal Duadi, Nir Davidson, Moti Fridman

Institutions: Technion – Israel Institute of Technology, Bar-Ilan University, Weizmann Institute of Science

Language: English

Topic: Nonlinear Dynamics and Pattern Formation

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $6,790

Funder: Bar-Ilan University