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https://issues.apache.org/jira/browse/SPARK-10994?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-10994:
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Assignee: Apache Spark
> Local clustering coefficient computation in GraphX
> --------------------------------------------------
>
> Key: SPARK-10994
> URL: https://issues.apache.org/jira/browse/SPARK-10994
> Project: Spark
> Issue Type: New Feature
> Components: GraphX
> Reporter: Yang Yang
> Assignee: Apache Spark
> Original Estimate: 336h
> Remaining Estimate: 336h
>
> We propose to implement an algorithm to compute the local clustering
> coefficient in GraphX. The local clustering coefficient of a vertex (node) in
> a graph quantifies how close its neighbors are to being a clique (complete
> graph). More specifically, the local clustering coefficient C_i for a vertex
> v_i is given by the proportion of links between the vertices within its
> neighbourhood divided by the number of links that could possibly exist
> between them. Duncan J. Watts and Steven Strogatz introduced the measure in
> 1998 to determine whether a graph is a small-world network.
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