Spectral Ranking
We sketch the history of #spectral_ranking—a general umbrella name for techniques that apply the theory of linear maps (in particular, eigenvalues and eigenvectors) to matrices that do not represent geometric transformations, but rather some kind of #relationship between entities. Albeit recently made famous by the ample press coverage of #Google’s #PageRank algorithm, spectral ranking was devised more thana century ago, and has been studied in tournament ranking, psychology, social sciences, bibliometrics, economy and choice theory. …
▻https://arxiv.org/pdf/0912.0238.pdf
(en gros le brevet sur lequel Google a construit sa fortune ne valait pas tripette)