Spontaneous recovery in dynamical networks

By Antonio Majdandzic, Boris Podobnik, Sergey V. Buldyrev, Dror Y. Kenett, Shlomo Havlin, H. Eugene Stanley. Nature Physics, 2013

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Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context (2020, background): “• History: system elements and the overall system have the ability to store state and history so that the past helps to shape present behaviour[63].”
Explosive transitions in complex networks’ structure and dynamics: Percolation and synchronization (2016, methodology): “Although beyond the scope of this review, it is worth mentioning that other abrupt transitions have been recently described in networked systems, having to do with spreading processes (like epidemics with co-infection [445, 446] or re-infection [447] mechanisms), spontaneous recovery in dynamical ne”
Robustness and resilience of complex networks (2024, background): “It may be possible to prevent systemic collapse either by favouring spontaneous recovery 218,219 or by inducing it through microscopic interventions 215–217, Early attempts of network design can be traced back to augmentation problems in graphs, studied in the 1970s.”