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The Degrees of Separation Searcher is a program that takes a .seq input (in NODE-NEIGHBOR form), and returns a histogram of all nodes from all neighbors. It could be used, for example, to find the average degrees of separation in a large social network. This project was completed for the UC Berkeley Course CS61-C, and all modifications made from the skeleton file onwards are proprietary to: Paul Kang Lucas Sloan NOTE: The Makefile for this code is machine specific and will not function on most machines. In order to run SmallWorld.java, compile it from source and feed it into hadoop with a properly formatted .seq file. This Repo's purpose is to demonstrate a good understanding of the Hadoop framework, particularly a grasp of the WRITABLE classes, and the MAPPER and REDUCER utilities.
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The Degrees of Separation Searcher is an exercise designed to convert a testfile containing nodes and vertices into a histogram of their distances from each other.
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