<p>(a) Exhausted rate as a function of simulation time. Inset is as the function of simulation time; (b) Exhausted rate as a function of the node degree; (c) Degree distributions of three networks in log-log scale. The parameter is set to 0.35 for (a) and (b).</p
(a) A sample time series showing the evolution of S, I, R and V for a simulated epidemic with β = 0....
We study spreading on networks where the contact dynamics between the nodes is governed by...
The time variation of contacts in a networked system may fundamentally alter the properties of sprea...
Comparison of running times in seconds and influence spread in number of nodes for different values ...
<p>(A) Final fraction of non-infected subjects as a function of the infective time and the infecti...
<p>(<b>a</b>) Defining the time-explicit steady state. Blue line—the ‘reference’ simulation ensemble...
<p>Here <i>L</i> represents the percentage of nodes with the largest spreading ability.</p
4 pages, 4 figures, final versionWe study the effect of the connectivity pattern of complex networks...
Abstract. Spreading on networks is influenced by a number of factors including different parts of th...
Coverage area in dynamic networks is considered an important issue that affects their general perfor...
AbstractThe distributed cure rate, which is assumed to be a stochastic variable with a specific dist...
Complex system is a newly introduced concept that only has been studied for around two decades. As n...
Complex networks exist everywhere in our daily life, including the Internet and different social rel...
<p>(a) illustrates the epidemic spreading pattern in network A. Initially, 16 nodes in the center of...
<p>In (a) and (b) (red line), (green dashed line), (blue dotted line). All simulations done with ...
(a) A sample time series showing the evolution of S, I, R and V for a simulated epidemic with β = 0....
We study spreading on networks where the contact dynamics between the nodes is governed by...
The time variation of contacts in a networked system may fundamentally alter the properties of sprea...
Comparison of running times in seconds and influence spread in number of nodes for different values ...
<p>(A) Final fraction of non-infected subjects as a function of the infective time and the infecti...
<p>(<b>a</b>) Defining the time-explicit steady state. Blue line—the ‘reference’ simulation ensemble...
<p>Here <i>L</i> represents the percentage of nodes with the largest spreading ability.</p
4 pages, 4 figures, final versionWe study the effect of the connectivity pattern of complex networks...
Abstract. Spreading on networks is influenced by a number of factors including different parts of th...
Coverage area in dynamic networks is considered an important issue that affects their general perfor...
AbstractThe distributed cure rate, which is assumed to be a stochastic variable with a specific dist...
Complex system is a newly introduced concept that only has been studied for around two decades. As n...
Complex networks exist everywhere in our daily life, including the Internet and different social rel...
<p>(a) illustrates the epidemic spreading pattern in network A. Initially, 16 nodes in the center of...
<p>In (a) and (b) (red line), (green dashed line), (blue dotted line). All simulations done with ...
(a) A sample time series showing the evolution of S, I, R and V for a simulated epidemic with β = 0....
We study spreading on networks where the contact dynamics between the nodes is governed by...
The time variation of contacts in a networked system may fundamentally alter the properties of sprea...
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