Figure 2:
Mean relative error  of
              the robustness to noise of the clustering coefficient for different generalizations as
              a function of the amount of gaussian noise for the associative-semantic network (left)
              and the resting-state fMRI network (right) on the nonzero connections. The noise
              fraction  is defined as the factor that is multiplied
              with samples from the standard normal noise distribution. In the left panel, the lines
              of  and  almost coincide, and this is also the case for , , and  in
              the right panel.

Mean relative error of the robustness to noise of the clustering coefficient for different generalizations as a function of the amount of gaussian noise for the associative-semantic network (left) and the resting-state fMRI network (right) on the nonzero connections. The noise fraction is defined as the factor that is multiplied with samples from the standard normal noise distribution. In the left panel, the lines of and almost coincide, and this is also the case for , , and in the right panel.

Close Modal

or Create an Account

Close Modal
Close Modal