** Running PageRank Example**

Starting MapReduce on: ((a (1.0 (b c))) (b (1.0 (c))) (c (1.0 (a)))) mapping: key = a val = (1.0 (b c)) emitting: key = b val = (0.5) emitting: key = c val = (0.5) emitting: key = a val = ((b c)) mapping: key = b val = (1.0 (c)) emitting: key = c val = (1.0) emitting: key = b val = ((c)) ... reducing: key = a val = (((b c)) (1.0)) result: key = a val = (1.0 (b c)) reducing: key = b val = ((0.5) ((c))) result: key = b val = (0.575 (c)) reducing: key = c val = ((0.5) (1.0) ((a))) result: key = c val = (1.425 (a)) Starting MapReduce on: ((a (1.0 (b c))) (b (0.575 (c))) (c (1.425 (a)))) reducing: key = a val = (((b c)) (1.425)) reducing: key = b val = ((0.5) ((c))) reducing: key = c val = ((0.5) (0.575) ((a))) Starting MapReduce on: ((a (1.36125 (b c))) (b (0.575 (c))) (c (1.06375 (a)))) reducing: key = a val = (((b c)) (1.06375)) reducing: key = b val = ((0.680625) ((c))) reducing: key = c val = ((0.680625) (0.575) ((a))) ... after 10 steps: Result = ((a (1.16673918 (b c))) (b (0.64324941 (c))) (c (1.19001141 (a))))