I have pushed a new social network graph visualization feature into
xEAC, a highly Linked Open Data integrated software platform for the the creation and publication of EAC-CPF records.
The new graph visualizations are based on modeling EAC-CPF into various standard RDF ontologies and publishing the triples into a SPARQL endpoint. While there is much work remaining to model events represented in EAC-CPF into RDF, the relationship model between persons, corporate bodies, and families is stable enough to power the graphical visualizations in the open source Javascript library,
vis.js.
This represents the first phase of a more comprehensive social network analysis functionality. The graphs are available for manipulation on the level of individual entities, but my goal is to expand the application to implement a more sophisticated
query interface that allows users to select arbitrary parameters to
generate their own visualizations. For example, a user may want to view
all persons grouped together by family or corporate body. Or group
people by occupation, and filter by date or place. All of these things are
possible by reconceptualizing EAC-CPF into RDF graphs.