Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX.
Currently, DGA supports the following analytics:
- Weakly Connected Components
- Leaf Compression
- Page Rank
- High Betweenness Set Extraction
- Louvain
- Louvain Modularity (initial stage)
Eventually, the following analytics will be supported:
- Weakly Connected Components
- High Betweenness Set Extraction
- Leaf Compression
- Page Rank
dga-giraph is the project that contains our Giraph implementation of DGA. For more information, go here: dga-giraph README.md