<p>(a) The solid line is the initial Poisson distribution with a mean of 5. The markers (the circle and +) denote the in-degree distributions of the evolved network with rewiring thresholds <i>θ</i> = 0.5 and 0.6, respectively, obtained over 500 independent runs of our simulation. The in-degree distributions in the evolved networks are significantly different from the initial condition, showing much higher heterogeneity in in-degrees. (b) The same as (a) except that the vertical axis is logarithmically scaled. We can observe the approximately exponential tails in the evolved networks.</p
<p>The size of the network is 900. The number of rewiring times <i>L</i> is 0, 90, 900 and 3600 resp...
<p>Red stars represent the node in-degree denoted by ⟨k<sub>in</sub>⟩ and the green diamonds represe...
The ability to simulate networks accurately and efficiently is of growing importance as many aspects...
<p>Shown are (A) in-degree and (B) out-degree distributions for the evolved network in <a href="http...
<p>The network size is 900. The parameter α is 1.0, 0.7, 0.3 and 0.0 respectively. α = 1 corresponds...
<p>Average degree distribution of all frequency ranges for networks set at 1% connectivity density. ...
Degree distributions of the network at the start (t = 0) are shown in blue and distributions at the ...
<p>The in-degree distributions for each threshold at the random network (<i>t</i> = 0) and at times ...
<p>Right column shows illustrations of prototypical networks: the (ring) lattice small-world, the cl...
<p>The circles represent the epidemic threshold from our simulation, and the lines the predictions o...
<p>100 evolved networks obtained after 100 generations with EFR (; see Fig. 2) and 100 random networ...
<p>The network has mean degree and the transmissibility of the second disease is fixed at , while t...
We study a simple model of dynamic networks, characterized by a set preferred degree, κ. Each node w...
We generalize the Poissonian evolving random graph model of M. Bauer and D. Bernard (2003), to deal...
In this paper, we propose a simple evolving network model with link and node removals as well as add...
<p>The size of the network is 900. The number of rewiring times <i>L</i> is 0, 90, 900 and 3600 resp...
<p>Red stars represent the node in-degree denoted by ⟨k<sub>in</sub>⟩ and the green diamonds represe...
The ability to simulate networks accurately and efficiently is of growing importance as many aspects...
<p>Shown are (A) in-degree and (B) out-degree distributions for the evolved network in <a href="http...
<p>The network size is 900. The parameter α is 1.0, 0.7, 0.3 and 0.0 respectively. α = 1 corresponds...
<p>Average degree distribution of all frequency ranges for networks set at 1% connectivity density. ...
Degree distributions of the network at the start (t = 0) are shown in blue and distributions at the ...
<p>The in-degree distributions for each threshold at the random network (<i>t</i> = 0) and at times ...
<p>Right column shows illustrations of prototypical networks: the (ring) lattice small-world, the cl...
<p>The circles represent the epidemic threshold from our simulation, and the lines the predictions o...
<p>100 evolved networks obtained after 100 generations with EFR (; see Fig. 2) and 100 random networ...
<p>The network has mean degree and the transmissibility of the second disease is fixed at , while t...
We study a simple model of dynamic networks, characterized by a set preferred degree, κ. Each node w...
We generalize the Poissonian evolving random graph model of M. Bauer and D. Bernard (2003), to deal...
In this paper, we propose a simple evolving network model with link and node removals as well as add...
<p>The size of the network is 900. The number of rewiring times <i>L</i> is 0, 90, 900 and 3600 resp...
<p>Red stars represent the node in-degree denoted by ⟨k<sub>in</sub>⟩ and the green diamonds represe...
The ability to simulate networks accurately and efficiently is of growing importance as many aspects...