Continuous-Time Random Walks and Temporal Networks (original) (raw)

Continuous-time random walks are explored as a framework for understanding temporal networks, emphasizing the importance of both transition probabilities and waiting-time distributions in characterizing network dynamics. The study discusses how traditional discrete-time random walks have been applied in various scientific domains and highlights the significance of temporal data in analyzing real-world networks. The findings suggest that future research should consider dynamic processes that account for interactions and non-static characteristics in temporal networks.