Unifying continuous, discrete, and hybrid susceptible-infected-recovered processes on networks
Lucas Böttcher, Nino Antulov-Fantulin
Abstract
This paper introduces a shortest-path kinetic Monte Carlo framework to model SIR-like processes with general continuous, discrete, and hybrid infection and recovery time distributions. The authors use their framework to study various Markovian and non-Markovian SIR processes.
Topics & Concepts
Markov processStatistical physicsComputer sciencePath (computing)Monte Carlo methodDiscrete time and continuous timeShortest path problemKinetic Monte CarloMathematical optimizationApplied mathematicsMathematicsTheoretical computer sciencePhysicsStatisticsComputer networkGraphComplex Network Analysis TechniquesMarkov Chains and Monte Carlo MethodsGraph theory and applications