Help Shape the Future of Dataiku Join our User Research Program

Graph Analytics

Solved!
davidmakovoz
Level 4
Graph Analytics

Two questions. 



1. Graph analytics plugin: https://www.dataiku.com/product/plugins/graph-analytics/.  On that page I found "This recipe takes the list of edges as input, and compute several graph statistics. ", but couldn't find any more specifics on what statistics is computed.



 



2. Documentation https://doc.dataiku.com/dss/latest/unstructured-data/graph/index.html?highlight=graph mentions a Neo4j plugin: https://www.dataiku.com/dss/plugins/info/neo4j.html , but that page doesn't exist. Is it work in progress?

0 Kudos
1 Solution
Mattsco
Dataiker
Dataiker

Hi David, 



1. For the graph analytics plugin, we compute metrics using python networkX package: eigenvector centrality, clustering coefficient, number of triangles, closeness centrality, PageRank, square clustering.

Note that plugins are totally open and you can go to see the code



2. The neo4j plugin is still in review and should be released soon. I'll let you know! 



Matt

Mattsco

View solution in original post

1 Reply
Mattsco
Dataiker
Dataiker

Hi David, 



1. For the graph analytics plugin, we compute metrics using python networkX package: eigenvector centrality, clustering coefficient, number of triangles, closeness centrality, PageRank, square clustering.

Note that plugins are totally open and you can go to see the code



2. The neo4j plugin is still in review and should be released soon. I'll let you know! 



Matt

Mattsco

View solution in original post

Labels (1)
A banner prompting to get Dataiku DSS