Hi JueiTing,
I think this is a typical case for a massive Map/Reduce job. I am thinking
of combining Hadoop works with replicas of the graph and then do the
computation. I believe Paddy Fitzgerald has been working with these
approaches and can give some feedback.

Of course, given the size of the graph, that might prove a problem. OTOH, if
there are no modifications during the computation, you could run the
calculations on read-only databases from the same store. Would that work?


/peter neubauer

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On Wed, May 11, 2011 at 12:47 AM, 翁瑞廷 <wshir...@gmail.com> wrote:

>  Hi,
> I'm trying to use Neo4j graph database to store a
> large social network(more than 5,000,000 nodes) for academic research.
> I need to compute the separation degree(path length) between any two nodes
> in the graph then get the average degree of whole database.
> The solution I'm using use now is archieved by executing API
> "GraphAlgoFactory.shortestPath",
> but it means I need to execute (n*(n-1))/2 times to get all path length. I
> don't think it's a very good idea :(
> So, I'm wondering that is there any function which can assign one node and
> whole DB as Input, and return the
> paths or only path lengths between the node and all other nodes in the
> graph
> as Output? Just like Dijkstra algorithm did.
> I know there is a Dijkstra function in the API, but it only return the path
> between two nodes.
> It'll be really helpful for me if there is any function can return all the
> result in one computation(even the whole result array computing by
> Dijkstra)
> Or does anyone has better idea to deal with this issue?
> I tried to implement Dijkstra by myself, but it was impossible to declare
> such big 2D array in the program...(OutOfMemoryException)
> If there is any advice, I'll really appreciate it.
> Thanks.
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