
The Magazine of Early American Datasets (MEAD)
Document Type
Dataset
File Format
.csv
Abstract
This dataset is a cleaned version of the transcribed account book of an anonymous Dutch trader in Ulster, NY, published and edited by Kees-Jan Waterman and J. Michael Smith. This dataset documents the social connections between 156 Munsee people between 1712 and 1732, and has been prepared for network analysis by regularizing the spelling of names and using information from the published version of the account book to match individuals who appear under differently spelled names where possible. Source/Target pairs for network analysis were created for individuals with documented interactions with one another, such as people who bought gifts for another person, people who vouched for the credit of another person, or people who traveled together. The network is assumed to be undirected. Date information for edge creation is not included in the dataset but is available in the published version of the account book.
Time Period: Start Date of Data Collection
2015
Time Period: End Date of Data Collection
2017
Time Period: Start Date of Data Coverage
1712
Time Period: End Date of Data Coverage
1732
Date of this Version
Fall 2017
Source(s)
Kees-Jan Waterman and J. Michael Smith, Munsee Indian Trade in Ulster County, New York, 1712-1732 (Syracuse, N.Y.: Syracuse University Press, 2013).
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kane, Maeve, "Munsee Economic and Social Connections, 1712-1732," 01/01/15 - 01/01/17. 48. Philadelphia, PA: McNeil Center for Early American Studies [distributor], 2017. https://repository.upenn.edu
Included in
American Studies Commons, Digital Humanities Commons, History Commons, Indigenous Studies Commons, Native American Studies Commons
Article Location
Date Posted: 08 June 2022
Comments
This dataset was created as part of the research for my article "For Wagrassero's Son," in the Journal of Early American History. I have taken care to minimize mistakes and err on the side of caution in identifying individuals who appear in the dataset under multiple name spellings as the same individual, but I cannot guarantee it is free from human error. In assigning gender to individuals within the network, I have drawn on my own experience as a researcher and documentary evidence where available. The dataset is offered "as is," and researchers are encouraged to consult the original records in the event of uncertainty. If you have feedback, notice errors in the data, or have further questions, please contact me at mkane2@albany.edu.