<p>The results are shown for binary (over a range of densities) and weighted (w) networks. Error bars refer to the standard deviation. : global efficiency; : the characteristic path length; : the mean betweenness centrality; : the mean local efficiency; : the mean clustering coefficient. Test-retest variabilities significantly () lower than 10% are indicated with *.</p
<p>Bars show the mean areas under curves (AUC) of (A) small-world parameters (<i>C<sub>p</sub></i>, ...
We started with n = 4 as the smallest network that can contain two ‘groups’ (n > 1); this is followe...
<p>The effect of group size for networks at a density of 5% (top row), 20% (second row), 45% (third ...
<p>The results are shown for binary (over a range of densities) and weighted (w) networks. Error bar...
<p>ICC for the global efficiency (), the characteristic path length (), the mean betweenness central...
<p>The split-half case: the test-retest variability of local graph measures across densities.</p
<p>The 95% confidence intervals and between-group differences in normalized clustering (top), normal...
<p>(A) Differences between the HC and PM groups in subjects' structural networks. The black solid po...
<p>TRT: test-retest variability.</p><p>Comparison of global graph measures derived from subject-spec...
<p>The average across subjects of the weighted graph measures determined from the individual's netwo...
<p>Bars show the differences in the areas under curves (AUC) of (A) small-world parameters (Cp, Lp, ...
<p>The 95% confidence intervals and between-group differences in A) normalized clustering (ΔCC<sub>T...
<p>The error bars represent standard error with 95% confidence intervals. CON, WSC and NSC indicate ...
<p>The error bar represents the standard deviation of a parameter at a given sparsity across all sub...
<p>We count the percentage of cells participating in multiple cliques. The counts are compared again...
<p>Bars show the mean areas under curves (AUC) of (A) small-world parameters (<i>C<sub>p</sub></i>, ...
We started with n = 4 as the smallest network that can contain two ‘groups’ (n > 1); this is followe...
<p>The effect of group size for networks at a density of 5% (top row), 20% (second row), 45% (third ...
<p>The results are shown for binary (over a range of densities) and weighted (w) networks. Error bar...
<p>ICC for the global efficiency (), the characteristic path length (), the mean betweenness central...
<p>The split-half case: the test-retest variability of local graph measures across densities.</p
<p>The 95% confidence intervals and between-group differences in normalized clustering (top), normal...
<p>(A) Differences between the HC and PM groups in subjects' structural networks. The black solid po...
<p>TRT: test-retest variability.</p><p>Comparison of global graph measures derived from subject-spec...
<p>The average across subjects of the weighted graph measures determined from the individual's netwo...
<p>Bars show the differences in the areas under curves (AUC) of (A) small-world parameters (Cp, Lp, ...
<p>The 95% confidence intervals and between-group differences in A) normalized clustering (ΔCC<sub>T...
<p>The error bars represent standard error with 95% confidence intervals. CON, WSC and NSC indicate ...
<p>The error bar represents the standard deviation of a parameter at a given sparsity across all sub...
<p>We count the percentage of cells participating in multiple cliques. The counts are compared again...
<p>Bars show the mean areas under curves (AUC) of (A) small-world parameters (<i>C<sub>p</sub></i>, ...
We started with n = 4 as the smallest network that can contain two ‘groups’ (n > 1); this is followe...
<p>The effect of group size for networks at a density of 5% (top row), 20% (second row), 45% (third ...