<!-- TITLE: New York Times Obituaries --> <!-- SUBTITLE: putting an ear to the ground... letting echoes of the dead speak... reading social tombstones... --> > This page is incomplete. > Email `[email protected]` if you'd like to contribute + [Data documentation](/obits/data_documentation) + [Package documentation](/obits/package_documentation) + [IPUMS OCC 2000 codes](https://usa.ipums.org/usa/volii/occ2000.shtml) + [Matching Obits to Wikipedia Articles](http://wiki.alecmcgail.com/obits/wiki-matched-obits#matching-obituaries-with-wikipedia-entries) + [Gender Breakdown of Matched/Unmatched Wiki Articles](http://wiki.alecmcgail.com/obits/gender-dist-of-matched-and-unmatched-obituaries) + [Do Long Obituaries Have Wikipedia Articles](http://wiki.alecmcgail.com/obits/do-long-obituaries-have-wikipedia-articles) # idk ## Strats Only keep names which successfully lookup in Wikidata Wikidata information to keep: Occupation P106 No distinction between primary and secondary occupations Gender P21 Awards P166 (?) DOB P569 Country of citizenship P27 Place of birth P19 Place of death P20 Education P69 Ethnic Group P172 Get a ton of images to make a face out of faces Keep local DB cache of Wikidata lookups so we don’t have to do the 1000s of queries more than once Data ## Questions context: He headed the department of religion and for several semesters ran a joint seminar with Paul Tillich on theology and the history of religion. The son of an Army officer, Leon Samuel Roudiez Jr. was born in Bronxville, N.Y., and raised in Germany and France. With one of his former students, Robert D. Hume, he rediscovered and republished a satirical comedy that had been banned by Charles II in 1669 todo for me: ** find or recreate the script used to get this network 1/10 or 1/6 of the population, so we don't crash our computers lists congress, governors, presidents -- attorney generals mayors ny state officials olympic medalists weighting edges by # of names maybe # of names in sentence -- weighting edges by position in the obit interested in extracting actual interactions grammatical parsing -- specific phrases to identify what about kinship networks gender, and other attributes as correlates to network position, and also maybe properties of the obit and network position -- emergence of referential obits over time? in different OCCs? pick smaller samples justices governors artists CEOs what about looking at a person who was in a bunch of obituaries, and were themselves obiturized. who was mentioned in their obituary? --- --- --- which domains are socially dense? Is there a hierarchical structure? (i.e. mentions of Ronald Reagan that are not reciprocated) Possibility of limiting to just people who are obituarized already and how they are connected in each other’s obituaries