my SNAC slides for #dh11 http://dh2011abstracts.stanford.edu/xtf/view?docId=tei/ab-261.xml

1. Discovering Historic
Social Networks
Prototype Historical Resource Demo
Brian Tingle, California Digital Library
Digital Humanities 2011
Stanford University
2011 June 22

2. Meet the target users
Personas are fictional characters created to represent the different user types within a targeted demographic, attitude and/or behavior set that might use a site, brand
or product in a similar way. http://en.wikipedia.org/wiki/Persona_(marketing)

3. Meet the target users
Personas are fictional characters created to represent the different user types within a targeted demographic, attitude and/or behavior set that might use a site, brand
or product in a similar way. http://en.wikipedia.org/wiki/Persona_(marketing)
• Randy: Graduate student working on a PhD that involves biographies and the study of diplomatic
families and networks. Sometimes he comes to the site looking for information on specific people; other
times he is looking for information on a specific subject or event. He also TAs an undergraduate history
class and sometimes has to help students find topics for papers.

4. Meet the target users
Personas are fictional characters created to represent the different user types within a targeted demographic, attitude and/or behavior set that might use a site, brand
or product in a similar way. http://en.wikipedia.org/wiki/Persona_(marketing)
• Randy: Graduate student working on a PhD that involves biographies and the study of diplomatic
families and networks. Sometimes he comes to the site looking for information on specific people; other
times he is looking for information on a specific subject or event. He also TAs an undergraduate history
class and sometimes has to help students find topics for papers.
• Connie: Works at an institution that contributed records to the project. Is going to be asking
themselves how this site would be useful to their users. Wants to understand how their records were
used and what the added value is.

5. Meet the target users
Personas are fictional characters created to represent the different user types within a targeted demographic, attitude and/or behavior set that might use a site, brand
or product in a similar way. http://en.wikipedia.org/wiki/Persona_(marketing)
• Randy: Graduate student working on a PhD that involves biographies and the study of diplomatic
families and networks. Sometimes he comes to the site looking for information on specific people; other
times he is looking for information on a specific subject or event. He also TAs an undergraduate history
class and sometimes has to help students find topics for papers.
• Connie: Works at an institution that contributed records to the project. Is going to be asking
themselves how this site would be useful to their users. Wants to understand how their records were
used and what the added value is.
• Quincy: Library School Student working to QA record matching.

6. Meet the target users
Personas are fictional characters created to represent the different user types within a targeted demographic, attitude and/or behavior set that might use a site, brand
or product in a similar way. http://en.wikipedia.org/wiki/Persona_(marketing)
• Randy: Graduate student working on a PhD that involves biographies and the study of diplomatic
families and networks. Sometimes he comes to the site looking for information on specific people; other
times he is looking for information on a specific subject or event. He also TAs an undergraduate history
class and sometimes has to help students find topics for papers.
• Connie: Works at an institution that contributed records to the project. Is going to be asking
themselves how this site would be useful to their users. Wants to understand how their records were
used and what the added value is.
• Quincy: Library School Student working to QA record matching.
• Adele: Person doing authority work during collection processing.

7. Meet the target users
Personas are fictional characters created to represent the different user types within a targeted demographic, attitude and/or behavior set that might use a site, brand
or product in a similar way. http://en.wikipedia.org/wiki/Persona_(marketing)
• Randy: Graduate student working on a PhD that involves biographies and the study of diplomatic
families and networks. Sometimes he comes to the site looking for information on specific people; other
times he is looking for information on a specific subject or event. He also TAs an undergraduate history
class and sometimes has to help students find topics for papers.
• Connie: Works at an institution that contributed records to the project. Is going to be asking
themselves how this site would be useful to their users. Wants to understand how their records were
used and what the added value is.
• Quincy: Library School Student working to QA record matching.
• Adele: Person doing authority work during collection processing.
• Lenny: Lenny likes linked data, and wants to be able to mine the links that have been established
programatically.

8. Home Page

9. Facet tabs

10. Facet tabs

11. Advanced Search

12. Advanced limits match EAC
sections

13. XTF result

14. XTF query in the
crossQueryResult

15. doing a search

16. spellcheck

17. search results

18. search results

19. EAC record view
Identity

20. EAC record view
alternative forms of name

21. EAC record view
Biographical History

22. HTML 5 microdata in chron list

23. EAC record view
Related Entries

24. EAC record view
Related Entries

25. RDFa owl:sameAs

26. EAC record view
View EAC XML

27. EAC record view
Graph Demo

29. Tinkerpop
Graph Stack
h ttp://www.tinkerpop.com/
Property Graph Model
graphML
RDF S ail support

30. vertex
edge
https://github.com/tinkerpop/gremlin/wiki/Defining-a-Property-Graph

31. Graph Schema
vertex
_id: auto-assigned by neo4j
_type: vertex
identity: the name of the entity (string) [indexed]
urls: n seperated list of source EAD files
entityType: 'corporateBody', 'family', or 'person'
edge
_id: auto-assigned by neo4j
_type: edge
_lable: 'correspondedWith' or 'associatedWith'
_inV: incoming vertex _id (from)
_outV: outgoing vertex _id (to)
from_name: from identity (string) denormalized
to_name: to identity (string) denormalized

32. internal id
indices/name-idx is an index on
“identity”; used to look up neo4j record
id

33. “bothE” shows in and out edges
vertices/103994/bothE
redundant data to save repeated
lookups

36. RDF of the social graph
Thanks Ed Summers!

38. Silvia Mazzini
regesta.exe srl
http://templates.xdams.net/IBC/ontology/eac-cpf.rdf

39. Front End Stack
• golden grid
http://code.google.com/p/the-golden-grid/
• form style http://formalize.me/
• jquery and jquery ui
• hoverIntent for advanced search
• google analytics with event tracking

40. XTF XSLT Framework
• pre filter - do special tokenization to create custom
EAC facets
• https://docs.google.com/document/d/
1wP9x6sdOZTagJNQXoyJfPh0Y6UzQgqLwLI86WSlIPbk/edit?hl=en_US
• query parser - CGI params to XTF query XML
• result formatter - XTF results to HTML
• doc formatter - EAC-CPF to HTML
• http://code.google.com/p/xtf-cpf/source/browse/?
name=xtf-cpf

41. social graph visualization
• EAC to graphML
https://code.google.com/p/eac-graph-load/
• graphML file with open license should be
viewable in other tools
• current demo uses Dracula Graph Library
• Ed Summer’s “snac hacks” post

42. EAD to EAC XSLT
• forthcoming from Virginia

43. Record Merging
• forthcoming from Berkeley

44. Demo
• http://socialarchive.iath.virginia.edu/xtf/search