The United States Supreme Court: Visualizations and Metrics (60 Years of Data) Peter Hook September 18, 2004 PhD Student, Information Science SLIS Research.

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Presentation transcript:

The United States Supreme Court: Visualizations and Metrics (60 Years of Data) Peter Hook September 18, 2004 PhD Student, Information Science SLIS Research Forum

Overall Goals Gain insight into the work of the Supreme Court. Implement visualization tools for legal scholars to evaluate the work of the Court. Create visually rich teaching aids for legal instruction. (Concept Maps)

Origin of the Data All Supreme Court Opinions with West Topic headings 1944 term through the 2003 term Harvested and cleaned by hand From the Westlaw proprietary database

WEST Topics

Data Elements Case Name Date of Issue Chief Justice at Date of Issuance Topics Assigned by West Publishing Categories of topics (from West) Sub-Categories of Topics (from West)

TEMPORAL INSIGHTS TIMESEARCHER SOFTWARE: Human Computer Interaction Laboratory at the University of Maryland. Hochheiser, H., Shneiderman, B. Visual Specification of Queries for Finding Patterns in Time-Series Data Proceedings Discovery Science Available at:

TimeSearcher Reveals a Spike

The Explosion of Civil Rights Litigation

COMPARATIVE AREA INSIGHTS TREEMAP SOFTWARE: Human Computer Interaction Laboratory at the University of Maryland. Shneiderman, B. Tree visualization with treemaps: a 2-d space- filling approach, ACM Transactions on Graphics, vol. 11, 1 (Jan. 1992)

West Category by Court (Normalized by Percentage of Overall Topics Issued by that Court)

Topic Frequency Over Entire Dataset

Warren Court Distribution of Topics

Rehnquist Court Distribution of Topics

INSIGHTS FROM NETWORK GRAPHING TECHNIQUES PAJEK SOFTWARE: University of Ljubljana, Slovenia. Batagelj, V., & Mrvar, A. Pajek: Program Package for Large Network Analysis, University of Ljubljana, Slovenia

Co-Occurrence Objectives To map the work of the Supreme Court based on the co-occurrence of West, top- level topics. To evaluate whether the categories and sub-categories of West’s Outline of the Law suggest the manner in which topics co-occur in cases.

Degree of Connectivity Total Nodes Range (Degree of Connectivity) – 1 to 250 Mean (Degree of Connectivity) Median (Degree of Connectivity) Mode (Degree of Connectivity) Total Connections between Nodes

Node Size = Number of times topic appears in the dataset Node Color = West Category

Conceptual Schemas

PART A Chapter 24 Chapter 3 Chapter 2 Chapter 19 Chapter 22 Chapter 16 Chapter 14

Acknowledgments Professor Katy Börner Ketan Mane Weimao Ke Rongke Gao Keith Buckley Ralph Gaebler