May 1, 2016 · We propose a dispersion entropy measure that quantifies the localization of infections in a generic contact graph. Formulating a maximum entropy ...

Abstract—The susceptible–infected–susceptible (SIS) epi- demic process on complex networks can show metastability, resembling an endemic equilibrium.

We propose a dispersion entropy measure that quantifies the localization of infections in a generic contact graph. Formulating a maximum entropy problem, we ...

We propose a dispersion entropy measure that quantifies the localization of infections in a generic contact graph. Formulating a maximum entropy problem, we ...

Apr 9, 2021 · Bibliographic details on Delocalized epidemics on graphs: A maximum entropy approach.

2023. Delocalized epidemics on graphs: A maximum entropy approach. FD Sahneh, A Vajdi, C Scoglio. 2016 American Control Conference (ACC), 7346-7351, 2016. 4 ...

Apr 25, 2024 · Delocalized epidemics on graphs: A maximum entropy approach. ACC ... Delocalized Epidemics on Graphs: A Maximum Entropy Approach. CoRR ...

Scoglio, “Delocalized epidemics on graphs: A maximum entropy approach,” in American Control ... epidemics on the complete graph and the star graph: Exact analy-.

Oct 2, 2023 · This project uses rigorous mathematical tools from network science, spectral graph theory ... Delocalized Epidemics: A Maximum Entropy Approach.

This work focuses on Susceptible-Infected-Susceptible (SIS) epidemics, and proposes a geometric approach to specify all networks for which an epidemic ...