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https://issues.apache.org/jira/browse/FLINK-1536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14353820#comment-14353820
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Vasia Kalavri commented on FLINK-1536:
--------------------------------------

Hi [~joey00!]!

It would be great if you could contribute a Gelly example or library method. 
You can find the examples we have so far 
[here|http://github.com/apache/flink/tree/master/flink-staging/flink-gelly/src/main/java/org/apache/flink/graph/example]
 and there is [a pending PR for local clustering 
coefficient|https://github.com/apache/flink/pull/420]. 
You can get some ideas from [this 
issue|https://github.com/project-flink/flink-graph/issues/20] in the old gelly 
development repository or propose your own :)

Let me know if you have questions!

-V.

> GSoC project: Graph partitioning operators for Gelly
> ----------------------------------------------------
>
>                 Key: FLINK-1536
>                 URL: https://issues.apache.org/jira/browse/FLINK-1536
>             Project: Flink
>          Issue Type: New Feature
>          Components: Gelly, Java API
>            Reporter: Vasia Kalavri
>            Priority: Minor
>              Labels: graph, gsoc2015, java
>
> Smart graph partitioning can significantly improve the performance and 
> scalability of graph analysis applications. Depending on the computation 
> pattern, a graph partitioning algorithm divides the graph into (maybe 
> overlapping) subgraphs, optimizing some objective. For example, if 
> communication is performed across graph edges, one might want to minimize the 
> edges that cross from one partition to another.
> The problem of graph partitioning is a well studied problem and several 
> algorithms have been proposed in the literature. The goal of this project 
> would be to choose a few existing partitioning techniques and implement the 
> corresponding graph partitioning operators for Gelly.
> Some related literature can be found [here| 
> http://www.citeulike.org/user/vasiakalavri/tag/graph-partitioning].



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