Craig,

Please keep me (or just the list) updated on this.

Thanks,
Alex

On Tue, Mar 23, 2010 at 5:43 AM, Craig Taverner <cr...@amanzi.com> wrote:

> Last year we wrote a multi-dimensional index for floats, similar in
> principle to the timeline index, but working on multiple floats (and
> doubles). We used it to index locations. Now we are hoping to include the
> same concepts in the new Neo4j
> Spatial<http://wiki.neo4j.org/content/Neo4j_Spatial>project. Even
> though this is targeting map data, it seems viable for any
> float/double property index. We hope to have some usable code for this
> within the next few weeks.
>
> On Mon, Mar 22, 2010 at 10:13 PM, Rick Bullotta <
> rick.bullo...@burningskysoftware.com> wrote:
>
> > Alex, due to floating point precision issues, you might be best off
> > determining some type of integral rounded or scaled key as you suggest.
>  If
> > you end up using the Lucene indexing engine, you'd probably want to do
> > something like this anyway, since indexing is string-based under the
> hood.
> >
> > That said, I wonder if any of the graph algos available for Neo could be
> > used to determine centrality during traversal rather than storing it
> > statically?
> >
> > -----Original Message-----
> > From: user-boun...@lists.neo4j.org [mailto:user-boun...@lists.neo4j.org]
> > On
> > Behalf Of Alex D'Amour
> > Sent: Monday, March 22, 2010 5:06 PM
> > To: Neo user discussions
> > Subject: [Neo] Indexing on Doubles in Neo4j
> >
> > Hello all,
> >
> > I'm working on an application where it would be nice to perform lookups
> on
> > a
> > graph database based on real-valued properties.
> >
> > For example, if I have a social network, and have assigned real-valued
> > centrality measures to each node, I'd like to be able to choose all
> > vertices
> > whose centrality measure is greater than some threshold.
> >
> > I see that the Timeline index service offers this for integer-valued
> > properties. Is there something similar (or in the pipeline) for doing the
> > same with real-valued properties? Is there an easy way to adapt one of
> the
> > current indexing utilities to do this (besides multiplying by 10^n for
> > sufficiently large n and then rounding)?
> >
> > Thanks,
> > Alex D'Amour
> > Harvard Institute for Quantitative Social Science
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