Predictive models on .

<p>Predictive models on .</p

Average results of the application of our stability analysis to the real Biological data example.

<p>The average value of the normalized variation of information is plotted as a function of the amount of perturbation . The black points in the figures show the variation of information for the unperturbed biological network while the red points show the results for the correspondent random graph (null model).</p

Scenario 1A average between distance and relative standard deviation for communities simulated with and .

<p>Scenario 1A average between distance and relative standard deviation for communities simulated with and .</p

<i>NetSel</i> extracted communities within distance and relative standard deviation.

<p><i>NetSel</i> extracted communities within distance and relative standard deviation.</p

Predictive models on .

<p>Predictive models on .</p

Scenario 2 average within distance and relative standard deviation for communities simulated with and .

<p>Scenario 2 average within distance and relative standard deviation for communities simulated with and .</p

Predictive models on the whole data set.

<p>Predictive models on the whole data set.</p

Scenario 1A average within distance and relative standard deviation for communities simulated with and .

<p>Scenario 1A average within distance and relative standard deviation for communities simulated with and .</p

<i>NetSel</i> communities extraction result on the proposed set of financial ratios.

<p><i>NetSel</i> communities extraction result on the proposed set of financial ratios.</p

<i>NetSe</i><i>l</i> network on the real dataset.

<p>The relative exctracted communities are C1(black dots), C2 (red dots) and the two outliers variables C4 (blue dot) and C3 (green dot).</p