A method of `network filtering' has been proposed recently to detect the
effects of certain external perturbations on the interacting members in a
network. However, with large networks, the goal of detection seems a priori
difficult to achieve, especially since the number of observations available
often is much smaller than the number of variables describing the effects of
the underlying network.