Re: [arangodb-google] Best approach to calculate centrality measures on graph

Hi Jan, Thanks for letting me know regarding the feature addition. I'll check and get back to you. Thanks, Praveen Jesudhas, Data Engineer, On Thu, Apr 6, 2017 at 5:12 PM, Jan Stücke wrote: > Hi Praveen, > > we just released Alpha3 of upcoming ArangoDB

Re: [arangodb-google] Best approach to calculate centrality measures on graph

Hi Praveen, we just released Alpha3 of upcoming ArangoDB 3.2. This alpha includes distributed graph processing with Pregel. We already implemented a bunch of algorithms, so maybe you want to give it a spin. Please find the release article here https://www.arangodb.com/2017/03/alpha3-arangodb-3-2-

Re: [arangodb-google] Best approach to calculate centrality measures on graph

Hi Praveen, good to hear that your cluster is now up and running. You can calculate the betweenness/centrality with ArangoDB but you have to make sure that the result set will fit in memory on 1 machine. Depending on your queries the result set might grow quite large. There are even better algori

Re: [arangodb-google] Best approach to calculate centrality measures on graph

Hi Praveen, good to hear that your cluster is now up and running. You can calculate the betweenness/centrality with ArangoDB but you have to make sure that the result set will fit in memory on 1 machine. Depending on your queries it might grow quite large. There are even better algorithms for bet

[arangodb-google] Best approach to calculate centrality measures on graph

Hi All, I've deployed ArangoDB 3..0.10 on a cluster and it works fine with 200 million vertices and 300 million edges. We are looking towards methods to compute graph centrality measures. ( https://en.wikipedia.org/wiki/Centrality ) mainly Betweenness Centrality and Eigenvector centrality. Th