<p>A) Solved Pareto fronts for naively generated networks, superimposed for comparison. Insets enlarge view near Utopian point. B) Examples of model fitness, comparing the Core network with the two closest alternatives (based on Pareto front placement) and a poor alternative. Only Alt1 remains similar to the Core on examination. Simulated from Pareto points closest to the Utopian, black arrows in A. Notation as in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003498#pcbi-1003498-g003" target="_blank">Figures 3</a> and <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003498#pcbi-1003498-g002" target="_blank">2A</a>.</p
<p>(<i>a</i>) A human PPI network with <i>n</i> = 11,524 nodes and average degree of 9.0. The dashed...
Yellow dots represent all shading variants simulated in the general optimisation study, while green ...
<p>The number of nodes N was identical for both networks. <i><sub>real</sub></i> and <i><sub>model</...
<p>A) Solved Pareto front for the Core network, showing the 3-D front (left) and projections (right ...
<p>A) Informed hypothetical networks, each adding elements to the Core network. * indicates an indir...
<p>(A) Pareto front of our model (open blue circles) and Thornley’s one (open red triangles). The fi...
<p>Legends in each panel clarifies on the topological quantities measured in experiments (dashed cur...
<p>For , the smaller gray symbols to the left of each Pareto front indicate solutions which maximize...
<p>The effectiveness (a) and economy (b) contours radiate outwards from the archetypes, which have t...
<p>Superiority is defined as the proportion of one model’s calibration Pareto front (rows) non-domin...
<p><b>(A)</b> Original ANNs for the networks with the best and worst test fitness. Inset text is the...
<p>Comparison of neutral networks of <i>l</i> = 12 with classical random and scale-free networks.</p
<p>(A) Example distribution (2-patch) for source-target pairs. (B) The pruning algorithm starts with...
<p>The black dots represent the superposed networks for all core organisms from string database with...
A. Two specific network topologies were selected for comparing models with different complexity. Net...
<p>(<i>a</i>) A human PPI network with <i>n</i> = 11,524 nodes and average degree of 9.0. The dashed...
Yellow dots represent all shading variants simulated in the general optimisation study, while green ...
<p>The number of nodes N was identical for both networks. <i><sub>real</sub></i> and <i><sub>model</...
<p>A) Solved Pareto front for the Core network, showing the 3-D front (left) and projections (right ...
<p>A) Informed hypothetical networks, each adding elements to the Core network. * indicates an indir...
<p>(A) Pareto front of our model (open blue circles) and Thornley’s one (open red triangles). The fi...
<p>Legends in each panel clarifies on the topological quantities measured in experiments (dashed cur...
<p>For , the smaller gray symbols to the left of each Pareto front indicate solutions which maximize...
<p>The effectiveness (a) and economy (b) contours radiate outwards from the archetypes, which have t...
<p>Superiority is defined as the proportion of one model’s calibration Pareto front (rows) non-domin...
<p><b>(A)</b> Original ANNs for the networks with the best and worst test fitness. Inset text is the...
<p>Comparison of neutral networks of <i>l</i> = 12 with classical random and scale-free networks.</p
<p>(A) Example distribution (2-patch) for source-target pairs. (B) The pruning algorithm starts with...
<p>The black dots represent the superposed networks for all core organisms from string database with...
A. Two specific network topologies were selected for comparing models with different complexity. Net...
<p>(<i>a</i>) A human PPI network with <i>n</i> = 11,524 nodes and average degree of 9.0. The dashed...
Yellow dots represent all shading variants simulated in the general optimisation study, while green ...
<p>The number of nodes N was identical for both networks. <i><sub>real</sub></i> and <i><sub>model</...