Category: Epidemiology

Summary: Mapping how the epidemic threshold changes with edge-switching rate on temporal ER, BA, and small-world networks.

On static networks, epidemic thresholds are often linked to a single adjacency matrix, but temporal networks introduce another control knob: how quickly the contact pattern itself changes. This experiment asks how the SIS-style contact-process threshold crosses over between slow-switching, snapshot-dominated behavior and fast-switching, mean-network behavior.

The script simulates spreading on temporal networks while varying both infection rate and switching rate for several topologies. By comparing Erdos-Renyi, Barabasi-Albert, and Watts-Strogatz-like settings, it tests whether network heterogeneity changes the sharpness and location of the quenched-to-annealed crossover.

That makes the project a phase-diagram mapping problem rather than a single-threshold estimate. The goal is to resolve how temporal variability and topology jointly determine persistence of infection.

Method: Repeated contact-process simulations on switching network ensembles, sweeping infection rate and edge-switching rate for multiple graph topologies.

What is measured: Epidemic threshold, switching-rate crossover, persistence across topologies, and differences between quenched and annealed regimes.