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An important note here is that the affiliation information comes mostly from the latest affiliation we know about for a person from a personnel organization standpoint. The linkage comes from the stated organization(s) that a person is a part of from scraping their staff profiles. This is not necessarily fully current and does not reflect the full history of affiliations that a person has had. It is also not based on the stated affiliation for authors at the time of publishing an article or report. | |||
The knowledgebase model we are working with here supports the dynamic of recording many affiliations for a given person with the potential for robust time bounds if that information could be surfaced. But we have challenges in information quality and completeness that have not been overcome. Affiliations for authors are sometimes recorded in the Publications Warehouse but these are essentially name-only identifiers for organizational units, not all of which have been disambiguated and tied to a usable identifier of some kind. What we would want to be able to do in an ideal world for something like this analysis is look specifically at the affiliation of co-authors at the time of co-authoring a publication, but we need more sophistication in our underlying characterization to do so comprehensively. | |||
