<p>Each result <i>N</i> is obtained by averaging over 100 implementations with <i>α</i> = 0.2 and <i>β</i> = 1. (a):<i>Physarum</i>Spreader vs Degree, <i>n</i> = 29. (b):<i>Physarum</i>Spreader vs Betweenness, <i>n</i> = 43. (c):<i>Physarum</i>Spreader vs K-shell, <i>n</i> = 47. (d):<i>Physarum</i>Spreader vs Weighted PageRank, <i>n</i> = 27.</p
<p>In each of the 3 panels, I<sup>∞</sup>(the final epidemic prevalence) as a function of the effect...
It is very important to investigate the multiple spreaders' effects since the spreading phenomenon i...
<p>Outliers represent the results from replicates where the epidemic died out early and consequently...
<p>Each result <i>N</i> is obtained by averaging over 100 implementations with <i>α</i> = 0.2 and <i...
<p>Each result <i>N</i> is obtained by averaging over 100 implementations with <i>α</i> = 0.2 and <i...
<p>Each result <i>N</i> is obtained by averaging over 100 implementations with <i>α</i> = 0.2 and <i...
<p>The parameters are <i>λ</i> = 1.1, <i>q</i> = 1/〈<i>k</i>〉 for all networks, and all results are ...
<p>Identifying the fastest spreaders in epidemics on a network helps to ensure an efficient spreadin...
<p>(a) illustrates the epidemic spreading pattern in network A. Initially, 16 nodes in the center of...
<p>For each node, F(t) is obtained by averaging over 100 implementations ( = 1.8).</p
<p>For each node, F(t) is obtained by averaging over 100 implementations ( = 1.2).</p
<p>(A) average epidemic size (i.e., density of infected nodes) as a function of recovery rate <i>γ</...
<p>Comparing the epidemic behavior on the census network and two proxy networks, mobile phone (red s...
<p>The numbers of spreaders are 100 in all networks, and the results are obtained by averaging over ...
In the present-days complex networks modeled on real-world data contain millions of nodes and billio...
<p>In each of the 3 panels, I<sup>∞</sup>(the final epidemic prevalence) as a function of the effect...
It is very important to investigate the multiple spreaders' effects since the spreading phenomenon i...
<p>Outliers represent the results from replicates where the epidemic died out early and consequently...
<p>Each result <i>N</i> is obtained by averaging over 100 implementations with <i>α</i> = 0.2 and <i...
<p>Each result <i>N</i> is obtained by averaging over 100 implementations with <i>α</i> = 0.2 and <i...
<p>Each result <i>N</i> is obtained by averaging over 100 implementations with <i>α</i> = 0.2 and <i...
<p>The parameters are <i>λ</i> = 1.1, <i>q</i> = 1/〈<i>k</i>〉 for all networks, and all results are ...
<p>Identifying the fastest spreaders in epidemics on a network helps to ensure an efficient spreadin...
<p>(a) illustrates the epidemic spreading pattern in network A. Initially, 16 nodes in the center of...
<p>For each node, F(t) is obtained by averaging over 100 implementations ( = 1.8).</p
<p>For each node, F(t) is obtained by averaging over 100 implementations ( = 1.2).</p
<p>(A) average epidemic size (i.e., density of infected nodes) as a function of recovery rate <i>γ</...
<p>Comparing the epidemic behavior on the census network and two proxy networks, mobile phone (red s...
<p>The numbers of spreaders are 100 in all networks, and the results are obtained by averaging over ...
In the present-days complex networks modeled on real-world data contain millions of nodes and billio...
<p>In each of the 3 panels, I<sup>∞</sup>(the final epidemic prevalence) as a function of the effect...
It is very important to investigate the multiple spreaders' effects since the spreading phenomenon i...
<p>Outliers represent the results from replicates where the epidemic died out early and consequently...