<p>Mutated networks were obtained after increasingly deleting interactions up to a core network. Blue, change in when increasingly deleting strong interactions. Black, change in when increasingly deleting weak interactions. Red, change in when increasingly deleting strong interactions. Green, change in when increasingly deleting weak interactions (lines between points to help visualization; dark gray shading denotes deletion starting from strong edges while light gray denotes deletion starting from weak edges).</p
<p>In the network generated by STRING v.9.1, each node represents a protein and each edge represents...
<p>Panels depict changes in the size of the giant component (A), global efficiency (B), and local ef...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...
<p><b>A.</b> The colour map shows the network state dependence on parameter values (other parameters...
<p>The left panel represents the status of the network before the network evolution, in which the fo...
<p>Colour maps show the network state as a function of pairs of parameters (other parameters set to ...
<p>Each line corresponds to performance after removing one feature. Green is default. Blue correspon...
<p>Altered functional connectivity identified by the CSS and CMS statistics (red) with the pseudo th...
<p>A) Removing exceptional edges from the network causes a decline in performance, while adding them...
<p>Relatively weak edges produced the largest change on network structure (as measured by the size o...
2018-11-12Complex systems can be represented as networks of interacting entities or nodes. In numero...
<p>The legend shows the color coding of the three CNS measures examined, as well as the number of ed...
In an evolving population, network structure can have striking effects on the sur-vival probability ...
<p>The black line represents transitivity, the red line indicates the global efficiency, the blue li...
<p>The 1000 networks of 8 nodes were evolved to maximise sensitivity to edge loses. The evolved netw...
<p>In the network generated by STRING v.9.1, each node represents a protein and each edge represents...
<p>Panels depict changes in the size of the giant component (A), global efficiency (B), and local ef...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...
<p><b>A.</b> The colour map shows the network state dependence on parameter values (other parameters...
<p>The left panel represents the status of the network before the network evolution, in which the fo...
<p>Colour maps show the network state as a function of pairs of parameters (other parameters set to ...
<p>Each line corresponds to performance after removing one feature. Green is default. Blue correspon...
<p>Altered functional connectivity identified by the CSS and CMS statistics (red) with the pseudo th...
<p>A) Removing exceptional edges from the network causes a decline in performance, while adding them...
<p>Relatively weak edges produced the largest change on network structure (as measured by the size o...
2018-11-12Complex systems can be represented as networks of interacting entities or nodes. In numero...
<p>The legend shows the color coding of the three CNS measures examined, as well as the number of ed...
In an evolving population, network structure can have striking effects on the sur-vival probability ...
<p>The black line represents transitivity, the red line indicates the global efficiency, the blue li...
<p>The 1000 networks of 8 nodes were evolved to maximise sensitivity to edge loses. The evolved netw...
<p>In the network generated by STRING v.9.1, each node represents a protein and each edge represents...
<p>Panels depict changes in the size of the giant component (A), global efficiency (B), and local ef...
<p>A) Performance over networks as connections are added to an empty network based on node degree (l...