Abstract
The sixth, and final, of the Digital Humanities assignments, Social Network Analysis, is presented in this chapter, beginning with a brief introduction to network analysis as an analytical method of great interest to humanities programmers. The assignment description (written in a form and with a point-of-view suitable to be copied and pasted into materials given directly to students), required support files and resources, skills utilized in the assignment (which include library imports in Python, object instantiation and use, and dictionaries as data structures), assignment management techniques and issues (mostly involved with helping students learn about the concept of code re-use, and how to install and review documenation for Python libraries), atomic code for the assignment (the in-class tutorial), expected output from student submitted work in this assignment, and variations for a number of student skill levels are provided.
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Notes
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A special thanks to the Folger Institute of the Folger Shakespeare Library for supporting this research by hosting the “Early Modern Digital Agendas: Advanced Topics” institute in 2015 through a National Endowment for the Humanities grant. The Drs. Ahnert provided 1 day of activities involving Social Network Analysis at the institute, and were so impressive that their presentations were the focus of EMDA 2017, two years later.
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At the time this book was printed, Palladio was available at http://hdlab.stanford.edu/palladio/.
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For instructions on how to do a screenshot on your computer, please consult the user’s manual for your operating system, or do a simple web search.
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Reference
Hayden R.: Wikipedia. https://en.wikipedia.org/wiki/Robert_Hayden (2018). Accessed 20 June 2018
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Kokensparger, B. (2018). Social Network Analysis: Historic Circles of Friends and Acquaintances. In: Guide to Programming for the Digital Humanities. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-99115-3_10
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DOI: https://doi.org/10.1007/978-3-319-99115-3_10
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