Hi Brian,

It is *awesome* to see the SNAC data being released with an open
license--and it's also really interesting to see the code for loading
it into neo4. How have you been liking neo4j so far? Is the neo4j
graph database something that you have been using in SNAC? Have you
been interacting with it mainly via gremlin, the REST API, and/or
Java?

Just as an aside, I noticed that there are 66 edges that lack labels,
and 8332 'associateWith' labels that probably should be
'associatedWith'? I'm also kind of curious to hear more about what
'associatedWith' means, is that something from EAC? I noticed that it
can connect people, corporate bodies and families.

ed@curry:~/Datasets/eac/eac-graph-load-data-2011-02$ grep edge
graph-snac-example.xml | perl -ne '/label="(.+)"/; print "$1\n";' |
sort | uniq -c | sort -n
       66
   8332 associateWith
  99907 correspondedWith
 382855 associatedWith

Thanks for sending this update! Sorry for all the questions, but this
is cool stuff.

//Ed

On Thu, Feb 17, 2011 at 8:37 PM, Brian Tingle
<[log in to unmask]> wrote:
> Hi,
>
> As a part of our work on the Social Networks and Archival Context
> Project [1], the SNAC team is please to release more early results of
> our ongoing research.
>
> A property graph [2] of correspondedWith and associatedWith
> relationships between corporate, personal, and family identities is
> made available under the Open Data Commons Attribution License [3] in
> the form of a graphML file [4].  The graph expresses 245,367
> relationships between 124,152 named entities.
>
> The graphML file, as well as the scripts to create and load a graph
> database from EAC or graphML, are available on google code [5]
>
> We are still researching how to map from the property graph model to
> RDF, but this graph processing stack will likely power the interactive
> visualization of the historical social networks we are developing.
>
> Please let us know if you have any feedback about the graph, how it is
> licensed, or if you create something cool with the data.
>
> -- Brian
>
> [1] http://socialarchive.iath.virginia.edu/
>
> [2] http://engineering.attinteractive.com/2010/12/a-graph-processing-stack/
>
> [3] http://www.opendatacommons.org/licenses/by/
>
> [4] http://graphml.graphdrawing.org/
>
> [5] http://code.google.com/p/eac-graph-load/downloads/detail?name=eac-graph-load-data-2011-02.tar
>
> Research funded by the National Endowment for the Humanities http://www.neh.gov/
>