The United States Code (Code) is a document containing over 22 million words that represents a large and important source of Federal statutory law. Scholars and policy advocates often discuss the direction and magnitude of changes in various aspects of the Code. However, few have mathematically formalized the notions behind these discussions or directly measured the resulting representations. This paper addresses the current state of the literature in two ways. First, we formalize a representation of the United States Code as the union of a hierarchical network and a citation network over vertices containing the language of the Code. This representation reflects the fact that the Code is a hierarchically organized document containing language and explicit citations between provisions. Second, we use this formalization to measure aspects of the Code as codified in October 2008, November 2009, and March 2010. These measurements allow for a characterization of the actual changes in the Code over time. Our findings indicate that in the recent past, the Code has grown in its amount of structure, interdependence, and language.
Deep Dive into A Mathematical Approach to the Study of the United States Code.
The United States Code (Code) is a document containing over 22 million words that represents a large and important source of Federal statutory law. Scholars and policy advocates often discuss the direction and magnitude of changes in various aspects of the Code. However, few have mathematically formalized the notions behind these discussions or directly measured the resulting representations. This paper addresses the current state of the literature in two ways. First, we formalize a representation of the United States Code as the union of a hierarchical network and a citation network over vertices containing the language of the Code. This representation reflects the fact that the Code is a hierarchically organized document containing language and explicit citations between provisions. Second, we use this formalization to measure aspects of the Code as codified in October 2008, November 2009, and March 2010. These measurements allow for a characterization of the actual changes in the Co
A Mathematical Approach to the Study of the United States Code
Michael J. Bommarito II
Center for the Study of Complex Systems, University of Michigan, Ann Arbor
Department of Political Science, University of Michigan, Ann Arbor
Department of Financial Engineering, University of Michigan, Ann Arbor
Daniel M. Katz
Center for the Study of Complex Systems, University of Michigan, Ann Arbor
Department of Political Science, University of Michigan, Ann Arbor
University of Michigan Law School
Abstract
The United States Code (Code) is a document containing over 22 million words that represents a large and important
source of Federal statutory law. Scholars and policy advocates often discuss the direction and magnitude of changes
in various aspects of the Code. However, few have mathematically formalized the notions behind these discussions or
directly measured the resulting representations. This paper addresses the current state of the literature in two ways.
First, we formalize a representation of the United States Code as the union of a hierarchical network and a citation
network over vertices containing the language of the Code. This representation reflects the fact that the Code is a
hierarchically organized document containing language and explicit citations between provisions. Second, we use this
formalization to measure aspects of the Code as codified in October 2008, November 2009, and March 2010. These
measurements allow for a characterization of the actual changes in the Code over time. Our findings indicate that in
the recent past, the Code has grown in its amount of structure, interdependence, and language.
Keywords:
United States Code, hierarchical network, citation network, language, computational legal studies
1. Formalizing the Code
The United States Code (Code) is a document con-
taining over 22 million words that represents a large and
important source of Federal statutory law. The Code is a
concise and conveniently organized compilation of all rati-
fied legislation and treaties, and is often the first source of
information for lawyers, judges, and legal academics.1 The
Code is compiled through a process known as codification,
which is carried out by the Office of the Law Revision
Counsel (LRC), an organization within the U.S. House
of Representatives.
The LRC’s goal in this codification
process is to transform the incremental and chronological
Statutes at Large into the Code, a current snapshot of the
law that is organized into hierarchical categories.2
Email addresses: mjbommar@umich.edu (Michael J. Bommarito
II), dmartink@umich.edu (Daniel M. Katz)
1The complete set of all ratified legislation and treaties is known
as the Statutes at Large. As a legal technicality, the Code is only
prima facie evidence of Federal law. In the event of a discrepancy,
the Statutes at Large are the final authority. Furthermore, additional
sources such as the Code of Federal Regulations contains clarifica-
tions issued by other Federal agencies or bodies.
22 U.S.C. §285- §285g outlines the purpose, policy and functions
of the Office of Law Revision Counsel.
This hierarchical organization is an important quali-
tative feature of the Code.
At the first level of the hi-
erarchy, the Code is divided into 49 titles that represent
the broadest categories of law. Well-known titles include
the Tax Code, formally known as Title 26 - Internal Rev-
enue Code, Title 20 - Education, and Title 18 - Crimes
and Criminal Punishment.
Each title is also hierarchi-
cally subdivided into some combination of subtitles, chap-
ters, subchapters, parts, subparts, sections, subsections,
paragraphs, subparagraphs, clauses, or subclauses. Out of
these vertex types, only sections, subsections, paragraphs,
subparagraphs, clauses and subclauses can contain the ac-
tual substantive legal text.
The text within these vertices can also contain explicit
citations to other portions of the Code. These citations
may be used to reference definitions, highlight qualifying
conditions, or point to well-understood processes.
It is
critical to recognize that these citations are not restricted
by the organizational hierarchy.
For example, sections
within Title 26, the Tax Code, can and do contain ci-
tations to Title 18, the Criminal Code. Thus, though the
LRC attempts to organize the Code into a cleanly divided
hierarchical network, there is also a citation network em-
Preprint submitted to Elsevier
October 22, 2018
arXiv:1003.4146v1 [cs.IR] 22 Mar 2010
bedded within the Code that is not constrained by this
hierarchy.
Based on the characterization above, we can formulate
a mathematical representation of the Code as a graph G =
(V, E) with an associated “text” function T(v). V is the
set of vertices composed of all titles, subtitles, chapters,
subchapters, parts, subparts, sections, subsections, para-
graphs, subparagraphs, clauses, and subclauses.
These
vertices can also be divided into two subsets: (1) vertices
that do contain text, written V T , and (2) vertices that do
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