Week 4

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 centralization score for the dataset is .952. The more modern Justices have a higher betweenness score and I believe that is attributed to the fact that the total number of clerks have significantly grown starting back in the 1950s. The schools with the highest scores are Harvard, Georgetown, GW all schools where there have been many clerks hired from. While the schools with a few or only one clerk hired from have much lower scores.

When it comes to eigenvector centarlity, shows some intersting reults. A modern justice such as Justice Gorsuch has among the highest while Justice Scalia is more middle of the pack. Howver, an older justice, Justice William Howard Taft has just as high of a score as Justice Gorsuch. I am not really sure what these results man. Justice Gorsuch’s high score might be explained because he both clerked for a Justice and is a Justice himself.

The school with the highest bonachi-power is Minnesota with -3.63 whil the lowest is Notre Dame. The Justice with the highest score is interestingly the newest Justice, Amy Coney-Barrett.

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