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A graph theoretical model for the analysis of the game of football and a discussion of applications thereof

Abstract

dc:description.abstract

In this dissertation an epidemiological approach is used to develop a graph theoretical model for the game of football. This model is a preliminary model due to the limitation of available resources. Even in its preliminary form, it is evident that significant information is obtained and easily displayed using graphs and adjacency matrices. A similar approach may be used in other game-like situations where coaches (manipulators) make decisions about strategy and tactics in order to prevail over opponents. In our case, the goal is to create a package of tools for the working professional in the field, i.e., the football coach and his assistants. As a study, this paper discusses its construction and methods, including procedures used to collect the data, analysis of the data, conclusions drawn, and commentary on future designs.

Degree

thesis:*
Grantor dc:publisher
University of Alabama Libraries
Year dc:date.issued
2009

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Taylor, Patrick
Advisor dc:contributor.advisor
  • Neggers, Joseph
Contributors dc:contributor
  • Teaff, Walter D.
  • Hadji, Layachi
  • Allen, Paul J.
  • Wu, Zhijian
  • Hsia, Wei-Shen

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • All rights reserved by the author unless otherwise indicated.
Language dc:language.iso
en_US, English

Identifiers

dc:identifier.*
Dc Identifier Other
u0015_0000001_0000167
Taylor_alatus_0004D_10163
OAI identifier oai:identifier
oai:ir.ua.edu:123456789/673

Chain of custody

source
Harvested from
University of Alabama
Base URL
ir-api.ua.edu/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Taylor, Patrick. A graph theoretical model for the analysis of the game of football and a discussion of applications thereof. University of Alabama Libraries, 2009. https://ir.ua.edu/handle/123456789/673