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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