The eigenvectors corresponding to the second eigenvalue of the Google matrix and their relation to link spamming.
Alex SangersMartin B. van GijzenPublished in: J. Comput. Appl. Math. (2015)
Keyphrases
- covariance matrix
- eigenvalue problems
- correlation matrix
- eigenvalues and eigenvectors
- laplacian matrix
- symmetric matrix
- link structure
- random matrix theory
- eigenvalue decomposition
- singular value decomposition
- positive definite
- search engine
- hessian matrix
- perturbation theory
- principal component analysis
- pseudo inverse
- eigendecomposition
- web pages
- spectral clustering
- link analysis
- ranking algorithm
- sample size
- social media
- principal components
- link spam
- objective function
- face recognition
- website
- singular values
- web graph
- low rank
- information retrieval