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arXiv:2309.15070physics.soc-ph

Timeliness criticality in complex systems

José Moran, Matthijs Romeijnders, Pierre Le Doussal, Frank P. Pijpers, Utz Weitzel, Debabrata Panja, Jean-Philippe Bouchaud

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Abstract

In complex systems, external parameters often determine the phase in which the system operates, i.e., its macroscopic behavior. For nearly a century, statistical physics has extensively studied systems' transitions across phases, (universal) critical exponents, and related dynamical properties. Here we consider the functionality of systems, notably operations in socio-technical ones, production in economic ones and, more generally, any schedule-based system, where timing is of crucial importance. We introduce a stylized model of delay propagation on temporal networks, where the magnitude of delay-mitigating buffer acts as a control parameter. The model exhibits {\it timeliness criticality}, a novel form of critical behavior. We characterize fluctuations near criticality, commonly referred to as ``avalanches'', and identify the corresponding critical exponents. The model exhibits timeliness criticality also when run on real-world temporal systems such as production networks. Additionally, we explore potential connections with the Mode-Coupling Theory of glasses, the depinning transition and the directed polymer problem.

arXiv comments
12 pages of main paper, 12 figures, 9 pages of supplementary information
Journal reference
Nature Physics 20 (8), 1352-1358 (2024)
DOI
doi:10.1038/s41567-024-02525-w
Subjects
physics.soc-phPhysics and Society cond-mat.dis-nnDisordered Systems and Neural Networks cond-mat.stat-mechStatistical Mechanics

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    • Glad we moved the discussion into the Overton window of firmware. Maybe it's too early to start shipping metaphors in wetware, but developing general heuristics for productive+reproducible+survivable self-fuzzing? (*) "n X's" might still be a useful template to keep in mind…

      vinnyvichyView on HNParent context

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