Temporal Networks

Temporal networks are systems where connections between entities change over time, rather than being static. For example, a person's social interactions vary daily, affecting how diseases spread or information flows. In these networks, the timing and order of connections matter, enabling more accurate modeling of dynamic processes. They help analyze phenomena like epidemic transmission, transportation schedules, or communication patterns, offering insights that static networks can't capture by considering both the structure and the timing of interactions.