  In this paper we introduce an influence measure based on second order
expansion of the RV and GCD measures for the comparison between unperturbed and
perturbed eigenvectors of a symmetric matrix estimator. Example estimators are
considered to highlight how this measure compliments recent influence analysis.
Importantly, we also show how a sample based version of this measure can be
used to accurately and efficiently detect influential observations in practice.
