Proximity to explosive synchronization determines network collapse and recovery trajectories in neural and economic crises

Proceedings of the National Academy of Sciences, Volume 122, Number 44, November 2025.
ImportanceWhy do some systems collapse abruptly and recover slowly, while others remain resilient? We show that the difference depends on how close a system’s second-order phase transition is to the first-order (explosive) limit, quantified as explosive…