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PageRank Citation Ranking􏰏 Bringing Order to the Web

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PageRank Citation Ranking􏰏 Bringing Order to the Web ( pagerank-citation-ranking􏰏-bringing-order-web )

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in S 􏰥 that is larger than some case that a graph has a go o d larger than the second􏰧largest if it quickly 􏰤time logarithmic in the size of the graph􏰥 converges to a limiting distribution on the set of no des in the graph􏰗 It is also the case that a random walk is rapidly􏰧mixing on a graph if and only if the graph is an expander or has an eigenvalue separation􏰗 100000000 10000000 1000000 100000 10000 1000 100 10 factor 􏰕 times jS j􏰪 here􏰐 􏰕 is called the expansion factor􏰗 It is the expansion factor if and only if the largest eigenvalue is su􏰖ciently eigenvalue􏰗 A random walk on a graph is said to b e rapidly􏰧mixing To relate all this to the PageRank computation􏰐 note that it is essentially the determination of the limiting distribution of a random walk on the Web graph􏰗 The imp ortance ranking of a no de is essentially the limiting probability that the random walk will b e at that no de after a su􏰖ciently large time􏰗 The fact that the PageRank computation terminates in logarithmic time is equivalent to saying factor􏰗 future in has a go o d expansion that the random walk is rapidly mixing or that the underlying graph Expander graphs have many desirable prop erties that we may b e able to exploit in the computations involving the Web graph􏰗 Convergence of PageRank Computation 0 7.5 15 22.5 30 37.5 45 52.5 Figure 􏰚􏰏 Rates of Convergence for Full Size and Half Size Link Databases 􏰚 Searching with PageRank A ma jor application of PageRank is searching􏰗 We have implemented two search engines which use PageRank􏰗 The 􏰝rst one we will discuss is a simple title􏰧based search engine􏰗 The second search engine is a full text search engine called Go ogle 􏰭BP􏰯􏰗 Go ogle utilizes a numb er of factors to rank search results including standard IR measures􏰐 proximity􏰐 anchor text 􏰤text of links p ointing to web pages􏰥􏰐 and PageRank􏰗 While a comprehensive user study of the b ene􏰝ts of PageRank is b eyond the scop e of this pap er􏰐 we have p erformed some comparative exp eriments and provide some sample results in this pap er􏰗 􏰓 Number of Iterations 322 Million Links 161 Million Links Total Difference from Previous Iteration

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