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https://issues.apache.org/jira/browse/FLINK-4129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15589419#comment-15589419
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ASF GitHub Bot commented on FLINK-4129:
---------------------------------------

GitHub user greghogan opened a pull request:

    https://github.com/apache/flink/pull/2663

    [FLINK-4129] [gelly] HITSAlgorithm should test for element-wise convergence

    Removes the example HITSAlgorithm. The Gelly library includes the more 
performant HITS algorithm.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/greghogan/flink 
4129_hitsalgorithm_should_test_for_elementwise_convergence

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/2663.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #2663
    
----
commit 656077bb9fbd6ab0d449d00b3245486f9d0882f8
Author: Greg Hogan <c...@greghogan.com>
Date:   2016-10-19T17:39:15Z

    [FLINK-4129] [gelly] HITSAlgorithm should test for element-wise convergence
    
    Removes the example HITSAlgorithm. The Gelly library includes the more
    performant HITS algorithm.

----


> HITSAlgorithm should test for element-wise convergence
> ------------------------------------------------------
>
>                 Key: FLINK-4129
>                 URL: https://issues.apache.org/jira/browse/FLINK-4129
>             Project: Flink
>          Issue Type: Bug
>          Components: Gelly
>    Affects Versions: 1.1.0
>            Reporter: Greg Hogan
>            Assignee: Greg Hogan
>            Priority: Minor
>             Fix For: 1.2.0
>
>
> {{HITSAlgorithm}} tests for convergence by summing the difference of each 
> authority score minus the average score. This is simply comparing the sum of 
> scores against the previous sum of scores which is not a good test for 
> convergence.
> {code}
> // count the diff value of sum of authority scores
> diffSumAggregator.aggregate(previousAuthAverage - 
> newAuthorityValue.getValue());
> {code}



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