Question: Part (e) Consider the Google PageRank algorithm as described on pages 10 and 11 in the class notes. The web consists of pages numbered 1,2,

Part (e) Consider the Google PageRank algorithm as described on pages 10 and 11 in the class notes. The web consists of pages numbered 1,2, . . . , N and it is described by N x N matrix G such that GU, 2') : 1 if there exists a link from page 3' to page j, and C(j, 21) : 0 otherwise. Assuming that following each link from a given page is equally likely, consider the corresponding matrix A of transition probabilities as decsribed in the notes, and consider the model with damping factor 37 (page 11 of the notes). In the downloaded le a5.mat you will nd a matrix G'. Assuming that p : 0.2, determine the fraction of time that the web browser will spend on each page in the long term. Determine which page is visited most frequently, and which page is visited least frequently, and the fractions of time spent on these two pages. Use the appropriate way of calling the functions max and min

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