The eigenvector method (EM) is well-known to derive information from pairwise comparison matrices in decision making …

Recently spectral perturbations, involving eigenvalue and eigenvector perturbations, which have attracted more …. However, to the best of our knowledge, the study of eigenvector perturbation and the equivalence between it and topological … and its corresponding eigenvector perturbation for network reconstructions. Afterwards, two perturbed forms of eigenvector …

compared with degree (a local measure), betweenness and Eigenvector centralities (two global measures) in the case of a …, the l-index has a poor correlation with betweenness but correlates with degree and Eigenvector centralities. Although … time to compute when compared with Eigenvector centrality. Results show that the l-index produces better results than …