‘My dataset includes every Supreme Court Justice and the school that their clerks attended. There are 187 vertices which contstitute the Justices and the different universiteis. There are 2487 edges and an edge means there is a connection between a Justice and a school because they have hired a clerk that graduated with their law degree from the university.The network density of the dataset is .149 not including loops. When looking at node degreee, you will see that Harvard has the highest count of relationships with 681, Yale is second wiht 464, and Chicago is third with 172.The median node degree is 3 and The mean is 27.33. While the max is 681. The centralziation score for both in and out degrees is 3.65. The nodes with the most outdegree are Harvard, Yale, Chicago, Standford, and Columbia. The nodes with the least outdegree are Penn, Northeastern, Virginia, Temple, Washington & Lee.’
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For attribution, please cite this work as
Burnworth (2022, Feb. 17). Data Analytics and Computational Social Science: Degree and Centrality. Retrieved from https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomburnworthj864158/
BibTeX citation
@misc{burnworth2022degree,
author = {Burnworth, Justin},
title = {Data Analytics and Computational Social Science: Degree and Centrality},
url = {https://github.com/DACSS/dacss_course_website/posts/httpsrpubscomburnworthj864158/},
year = {2022}
}