pagerank-mbd's Introduction
PageRank algorithm implementation which makes use of the Hadoop framework. # Execute the program - Use modified dataset web-Google.txt. I deleted comment words and left pure data. - Running InputGenerator.java first to generate the input file (part-r-00000) for the next process. Set args[0] as "web-Google.txt" and args[1] as the output directory. - Running PageRank.java to get the PageRank value for every node. Please note that it is important to make sure the input path points to the file "part-r-00000". This program will iterate 75 times. (Actually 20 times iteration is enough to get a relatively accurate result.) - Use filter.ipynb (https://drive.google.com/open?id=1m6uBxaCKt637Lu8wahYYqi3oFK2vmpaj) to generate the ordered list of the ten nodes having the largest PageRank. # Illustration According to comments in the file web-Google.txt, this dataset has 875713. I used the breadth-first search algorithm to traverse all nodes and found that only 600493 nodes are connected. As the BFS.java was found on the internet, I didn't include it in my code.
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