Network Measures of the United States Code

Abstract

The US Code represents the codification of the laws of the United States. While it is a well-organized and curated corpus of documents, the legal text remains nearly impenetrable for non-lawyers. In this paper, we treat the US Code as a citation network and explore its complexity using traditional network metrics. We find interesting topical patterns emerge from the citation structure, and begin to interpret network metrics in the context of the legal corpus. This approach has potential for determining policy dependency and robustness, as well as modeling of future policies.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
AD1107792

Entities

People

  • Alexander Lyte
  • David Slater
  • Shaun Michel

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Commerce
  • Communities
  • Computer Languages
  • Computer Programming
  • Computer Science
  • Congress
  • Corporations
  • Detection
  • Eigenvectors
  • European Union
  • Governments
  • Graph Theory
  • Health
  • Intergovernmental Organizations
  • International Law
  • Language
  • Law
  • National Guard
  • Network Science
  • Organizational Structure
  • Programming Languages
  • Public Health
  • United States

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Information Retrieval
  • Political Violence and Terrorism Studies.