The PageRank algorithm, the kernel of the method used by Google Search to give us the answer of a search we are asking in the web, contains a lot of mathematics. Maybe one could say that graphs and Markov chains theories are in the background, while the crucial steps are in a linear algebra context, as the eigenvalues of a matrix are involved. In this working paper we deal with all the mathematics we need to explain how the PageRank method works.

On the mathematical background of Google PageRank algorithm

PERETTI, Alberto;ROVEDA, Alberto
2014-01-01

Abstract

The PageRank algorithm, the kernel of the method used by Google Search to give us the answer of a search we are asking in the web, contains a lot of mathematics. Maybe one could say that graphs and Markov chains theories are in the background, while the crucial steps are in a linear algebra context, as the eigenvalues of a matrix are involved. In this working paper we deal with all the mathematics we need to explain how the PageRank method works.
2014
Graph theory, Linear mappings, Eigenvalues, Markov chains
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/931607
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