<p>Numerical estimation of for SIR in case of (A) and (C) (with ), and in case of (B) and (D) (with ). The results are independent of the network size (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002974#pcbi.1002974.s001" target="_blank">Text S1</a>). Dashed lines correspond to . The F statistics is presented above the plots. Dashed lines correspond to ; and are statistically different if .</p
Random networks were first used to model epidemic dynamics in the 1950s, but in the last decade it h...
Random networks were first used to model epidemic dynamics in the 1950s, but in the last decade it h...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...
<p>Watts-Strogatz, Romantic, and fully connected networks. Results for (A) time to the epidemic peak...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>(A) Final fraction of non-infected subjects as a function of the infective time and the infecti...
<p>Fraction of times an epidemic outbreak with size is observed at time . The results correspond t...
<p>Comparison of the distribution of epidemic sizes for SIR simulations performed on the contact sen...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>Figure A illustrates the final epidemic size distributions <i>P</i>(<i>E</i>) for various values ...
The stochastic nature of epidemic dynamics on a network makes their direct study very challenging. O...
<p>1000 SIR simulations performed on the matched contact sensors network (CSN<sup><i>m</i></sup>), t...
<p>(A) Mean number of nodes in each state of the SIR model as function of time. (B) Distribution of ...
Random networks were first used to model epidemic dynamics in the 1950s, but in the last decade it h...
Random networks were first used to model epidemic dynamics in the 1950s, but in the last decade it h...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...
<p>Watts-Strogatz, Romantic, and fully connected networks. Results for (A) time to the epidemic peak...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>(A) Final fraction of non-infected subjects as a function of the infective time and the infecti...
<p>Fraction of times an epidemic outbreak with size is observed at time . The results correspond t...
<p>Comparison of the distribution of epidemic sizes for SIR simulations performed on the contact sen...
<p>For each network model, shown are the mean (with 95% confidence intervals) over 100 simulated net...
<p>Figure A illustrates the final epidemic size distributions <i>P</i>(<i>E</i>) for various values ...
The stochastic nature of epidemic dynamics on a network makes their direct study very challenging. O...
<p>1000 SIR simulations performed on the matched contact sensors network (CSN<sup><i>m</i></sup>), t...
<p>(A) Mean number of nodes in each state of the SIR model as function of time. (B) Distribution of ...
Random networks were first used to model epidemic dynamics in the 1950s, but in the last decade it h...
Random networks were first used to model epidemic dynamics in the 1950s, but in the last decade it h...
<p>The disease parameters are , . Results of simulations having initial infections chosen with proba...