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Sep 21, 2016 · In order to study their role in the context of Susceptible-Infected-Susceptible (SIS) epidemics we use the Triadic Random Graph (TRG) model to ...
A novel stochastic approach is introduced for modelling the SIS-epidemics on TRGs based on characterizing nodes according to their set of $\left(k_{in} ...
In order to study their role in the context of Susceptible-Infected-Susceptible (SIS) epidemics we use the Triadic Random Graph (TRG) model to construct small ...
Dec 5, 2024 · SIS epidemics on Triadic Random Graphs. Article. Sep 2016. Ilja Rausch ; On the Role of Triadic Substructures in Complex Networks. Article. Jul ...
SIS Epidemics. ○ What if people can get infected with the disease multiple times? ○ We can delete the R case, and have all of the infecteds transfer back ...
Nov 10, 2015 · We compare two broad types of empirically grounded random network models in terms of their abilities to capture both network features and simulated Susceptible ...
Epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions when ...
of the continuous time evolution of the epidemic. We work with the configuration model for generating a random graph with a specified. degree sequence, which we ...
Missing: SIS Triadic
SIS epidemics on Triadic Random Graphs. I Rausch. arXiv preprint arXiv:1609.06511, 2016. 2016. Network motifs and collective decision-making. I Rausch, Y Khaluf ...
Feb 26, 2023 · Abstract: Starting from a stochastic individual based description of an SIS epidemic spreading on a random network, we study the dynamics ...
Missing: Triadic | Show results with:Triadic