  Deviations from the average can provide valuable insights about the
organization of natural systems. This article extends this important principle
to the more systematic identification and analysis of singular local
connectivity patterns in complex networks. Four measurements quantifying
different and complementary features of the connectivity around each node are
calculated and multivariate statistical methods are then applied in order to
identify outliers. The potential of the presented concepts and methodology is
illustrated with respect to a word association network.
