[jira] [Created] (SPARK-15880) PREGEL Based Semi-Clustering Algorithm Implementation using Spark GraphX API

["R J (JIRA)" <ji...@apache.org>]

R J created SPARK-15880:
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             Summary: PREGEL Based Semi-Clustering Algorithm Implementation using Spark GraphX API
                 Key: SPARK-15880
                 URL: https://issues.apache.org/jira/browse/SPARK-15880
             Project: Spark
          Issue Type: New Feature
          Components: GraphX
            Reporter: R J
            Priority: Minor


The main concept of Semi-Clustering algorithm on top of social graphs are:

 - Vertices in a social graph typically represent people, and edges represent connections between them.
 - Edges may be based on explicit actions (e.g., adding a friend in a social networking site), or may be inferred from people’s behaviour (e.g., email conversations or co-publication).
 - Edges may have weights, to represent the interactions frequency or strength.
 - A semi-cluster in a social graph is a group of people who interact frequently with each other and less frequently with others.
 - What distinguishes it from ordinary clustering is that, a vertex may belong to more than one semi-cluster.




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