<p>Each square represents the comparison of a network to the reference and is colored according to the group of the networks (CONTROL, PHENO, MMS). The comparison measures are: ‘correlation’ is Spearman's correlation coefficient; ‘overlap’ is the percentage of interactions in common among all observed interactions; ‘negative (resp. positive) overlap’ is the ratio of expected/observed overlap based on our statistical model for negative (resp. positive) networks; ‘unique’ is the percentage of interactions observed in only one network among all observed interactions; ‘negative (resp. positive) unique is the ratio of expected/observed unique ratio based on our statistical model for negative (resp. positive) networks; ‘disagree’ is the percentag...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...
<p>(A) Variations observed when the same concept pair was evaluated twice. The six histograms have b...
<p>Comparison of network characteristics between the average network and individual networks.</p
<p>The comparison measures (A: Correlation, B: Overlap, C: Unique, D: Disagree) between all pairs of...
<p><b>A:</b> The number of unique complexes in independent simulations as a function of time: each c...
<p>(a) The average Google correlation values for each number of collaborated papers. The error bars ...
<p>Comparative analysis of Postal Network to other networks in terms of Jaccard overlap, percent sha...
<p>Comparison of selected measures between event-related change networks and normal networks.</p
<p>TRT: test-retest variability.</p><p>Comparison of global graph measures derived from subject-spec...
<p>Shown is the proportion of identical edges present in two respective networks. Black lines −− sho...
<p>Values are represented as the mean (S.D.). For each participant, two functional connectivity netw...
Networks, graphical representations of a system and the relationships between its parts, is an impor...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>The Eqn. 1 is used for calculating the correlation coefficients for each simulation setting separ...
We describe and illustrate methodology for comparing networks from diverse settings. Our empirical b...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...
<p>(A) Variations observed when the same concept pair was evaluated twice. The six histograms have b...
<p>Comparison of network characteristics between the average network and individual networks.</p
<p>The comparison measures (A: Correlation, B: Overlap, C: Unique, D: Disagree) between all pairs of...
<p><b>A:</b> The number of unique complexes in independent simulations as a function of time: each c...
<p>(a) The average Google correlation values for each number of collaborated papers. The error bars ...
<p>Comparative analysis of Postal Network to other networks in terms of Jaccard overlap, percent sha...
<p>Comparison of selected measures between event-related change networks and normal networks.</p
<p>TRT: test-retest variability.</p><p>Comparison of global graph measures derived from subject-spec...
<p>Shown is the proportion of identical edges present in two respective networks. Black lines −− sho...
<p>Values are represented as the mean (S.D.). For each participant, two functional connectivity netw...
Networks, graphical representations of a system and the relationships between its parts, is an impor...
<p>The networks measures for the control group (green), the entire patient group (EP, blue) and the ...
<p>The Eqn. 1 is used for calculating the correlation coefficients for each simulation setting separ...
We describe and illustrate methodology for comparing networks from diverse settings. Our empirical b...
<p>Thicker edges represent stronger absolute correlations. Left: true network of partial correlation...
<p>(A) Variations observed when the same concept pair was evaluated twice. The six histograms have b...
<p>Comparison of network characteristics between the average network and individual networks.</p