Recovery Random Walks for Extreme Events on Complex Networks
The Recovery Random Walk (RRW) model introduces a mechanism where extreme events temporarily 'freeze' nodes for a fixed duration $\Delta$. This freezing traps walkers, reducing mobility and making the model more realistic. The analysis shows that this finite freezing suppresses the probability of future extreme events while maintaining the network's degree-dependent dynamics.