Robust Ranking of Brazilian Supreme Court Decisions

This work studies quantitative measures for ranking judicial decisions by the Brazilian Supreme Court (STF). The measures are based on a network built over decisions whose cases were finalized in the Brazilian Supreme Court between 01/2001 and 12/2019, obtained by crawling publicly available STF records. Three ranking measures are proposed; two are adaptations of the PageRank algorithm, and one adapts Kleinberg’s Algorithm. All are compared with respect to agreement on top 100 rankings; we also analyze each measure robustness based on self-agreement under perturbation.

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