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https://issues.apache.org/jira/browse/FLINK-1528?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14333524#comment-14333524
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ASF GitHub Bot commented on FLINK-1528:
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Github user vasia commented on the pull request:
https://github.com/apache/flink/pull/420#issuecomment-75586167
Does anyone have an idea about this? Is there a way to pass the
`HashSet<K>` type?
In any case, even if not, I think it doesn't matter in this case.
I believe we shouldn't add this as a library method, as it is a quite naive
implementation of local clustering coefficient. I'd prefer if we try to keep
the library methods as efficient as possible.
However, I would definitely add this as an example, since it very nicely
demonstrates how to use neighborhood methods and `joinWithVertices` (which are
missing from the other examples).
So, I would suggest we change this to an example that uses a sample
dataset, with e.g. Long ids and also allows file input. What do you think
@balidani?
> Add local clustering coefficient library method and example
> -----------------------------------------------------------
>
> Key: FLINK-1528
> URL: https://issues.apache.org/jira/browse/FLINK-1528
> Project: Flink
> Issue Type: Task
> Components: Gelly
> Reporter: Vasia Kalavri
> Assignee: Daniel Bali
>
> Add a gelly library method and example to compute the local clustering
> coefficient.
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