Comparing networks is always a complicated matter, whose effective implementation strongly depends on the amount of shared information between them, in particular whether nodes, edges, weights etc. are identical, or not. In the case of character networks and adaptations (from book to movie, from movie to theater, and so on), the formal challenge proves stimulating: some characters will be mapped from one work to the other, some will have no correspondence, and their weights, measuring their relative occurence, are bound to differ. This formal contribution, rooted in Multivariate Data Analysis, proposes a presumably novel similarity index, the generalized weighted RV coefficient, taking into account both the difference in character weights (nodes) and in character interactions (edges). This approach first requires to transform the character networks into weighted squared Euclidean configurations. We then compare a novel of C.S. Lewis, part of the series The Chronicles of Narnia, and the script of its film adaptation to illustrate the proposal and the results.