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We compare the two measures by computing the predicted probabilities of similarity and distance above their respective averages.
We study the relation between our measure and other influence measures by computing the correlation values between them.
We compare the two measures by computing the predicted probabilities of s and d above their respective averages (Pleft( {left( {s ge mu_{s} } right) cap left( {c_{1} le c le c_{2} } right)} right)) and (Pleft( {left( {d ge mu_{d} } right) cap left( {c_{1} le c le c_{2} } right)} right)).
We systematically evaluate the performance of the network distance measures by computing how well they can cluster topologically similar networks generated from the same graph family.
As in the analyses of the younger group, we examined the relation between activity and other measures by computing correlations with activation in different regions for the AP condition.
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The computational efficiency was measured by computing the average runtime of the 10 runs from each method.
For quantification of bending deformation, change in curvature was measured by computing a best-fit torus in the region of interest within a coronary segment.
The statistical similarity in surface area between pair of regions was measured by computing the partial correlation coefficient across 186 normal subjects of the Cuban Human Brain Mapping Project.
In this method, blocking is measured by computing boundary smoothness between 8 × 8 blocks and block visibility detection.
Moreover, the contribution of both modalities to the overall quality can be measured by computing the linear Pearson correlation between those quantities.
A peer-to-peer network's success in resisting a message-dropping attack can therefore be measured by computing the objective function in Equation 15.
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