Epidemic Threshold in Continuous-Time Evolving Networks - Sorbonne Université
Article Dans Une Revue Physical Review Letters Année : 2018

Epidemic Threshold in Continuous-Time Evolving Networks

Résumé

Current understanding of the critical outbreak condition on temporal networks relies on approximations (time scale separation, discretization) that may bias the results. We propose a theoretical framework to compute the epidemic threshold in continuous time through the infection propagator approach. We introduce the weak commutation condition allowing the interpretation of annealed networks, activity-driven networks, and time scale separation into one formalism. Our work provides a coherent connection between discrete and continuous time representations applicable to realistic scenarios.

Dates et versions

hal-03863433 , version 1 (21-11-2022)

Identifiants

Citer

Eugenio Valdano, Michele Re Fiorentin, Chiara Poletto, Vittoria Colizza. Epidemic Threshold in Continuous-Time Evolving Networks. Physical Review Letters, 2018, 120 (6), pp.068302. ⟨10.1103/PhysRevLett.120.068302⟩. ⟨hal-03863433⟩
169 Consultations
0 Téléchargements

Altmetric

Partager

More