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De Looij, H.R. (author)
Google PageRank is designed to determine the importance of a webpage. To do so, one needs to compute an eigenvector of the Google matrix. We show that this vector can also be found by solving a linear system. Additionally, an adjustment to the PageRank model will be made by considering one of the parameters to be a stochastic variable. We will...
bachelor thesis 2013