Power iteration — where it appears
Named by 3 essays across one field — each of them below, with the objects they name alongside it.
A ranking that is an eigenvector
PageRank is the stationary vector of a walk that follows links with probability α and jumps at random otherwise. The iteration and the elimination agree to 4·10⁻¹⁷. What α is set to changes which pages come third, fourth and fifth.
The rate is the second eigenvalue
A walk forgets where it started at a rate the graph's second eigenvalue names exactly. Across three orders of magnitude in the step count the prediction is five per cent high — and the published rate for PageRank is right for a reason nobody states, which is that a link graph is in pieces.
An eigenvector that must not change sign
Perron's theorem says the leading eigenvector of a connected nonnegative matrix is strictly positive. On a clique with a long tail, four of its thirty-six entries come back negative — and beside them is the one two-sided bound on this site that is proved rather than estimated.
Named alongside it
The objects these essays reach for when they reach for this one.
PagerankPerron frobeniusRandom walkBipartiteCentralityCertificateCollatz wielandtConductanceDangling nodeEigenvectorMixing timeNormalised laplacian