Re: [Neo4j] Neo4j for a social graph
Peter Neubauer
what is the throughput of this graph? How much will be inserted per
hour? Also, are you trying to get live data out of the influence graph
- what Algo are you trying to do there (maybe a small example graph)?
Cheers,
/peter neubauer
G: neubauer.peter
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If you can write, you can code - @coderdojomalmo
If you can sketch, you can use a graph database - @neo4j
On Thu, Apr 5, 2012 at 4:50 PM, Marius Stroe <laurent...@gmail.com> wrote:
> Hello guys,
>
>
> I apologize if this a duplicate message. I can't find the previously sent in
> this group.
>
> I would like to ask for your help for the following use case:
> * I have 10K keywords and a lot of tweets coming from twitter. Let's say we
> have a retweet: @b retweets @a's url.
> * Thus, an edge like (@a, @b, url) is created.
> * The fact is that the tweet may match to multiple keywords, thus the edge
> (@a, @b, url) may match to different keywords.
> * The output should be an influence graph for each keyword.
> * Every couple of seconds / minutes a keyword is being chosen and the
> influence graph should be fetched from db, processed and some results
> sent...
>
> Estimates: 100 mil edges and since the graph is really sparse the nodes
> would be around 25 mil.
>
> I couldn't find a way to use labels for vertexes and edges and make
> something blazing fast.
>
> Also, is the neo4j and bulbs a good combination for Python?
>
> Is this going to scale beyond 100 mil vertexes? Is sharding a tough task?
>
> Any help would be appreciated. :)
>
>
>
> Thank you,
>
> - Marius