Material
Language
Title
Title: application of social network analysis on a radio station collection of country and bluegrass music
Statement of responsibility
Margo Karen Kelly
Author
Place of publication
Ann Arbor, Mich
Publisher
UMI Dissertation Services from ProQuest Co
Year of publication
[2016]
Physical description
illustrations
Logical Extent
viii, 68 pages
Notes
M.S.; American University; 2015
In his book The Algorithm Design Manual Skeina characterizes graphs as "...one of the unifying themes of computer science...". (J. Scott & Carrington, 2011) A graph is an abstraction and as such it can be a simplified representation of a system. Graphs can describe telecommunication systems, biological processes and systems of human interaction. Graphs that represent systems of human interaction are known as Social Networks. This thesis describes the creation of a social network from Country and Bluegrass artists who have played together on the same album. The data was gathered from a radio station database in 2013. Basic network and node metrics are gathered. The main cluster is the partitioned into communities using the Girvan Newman algorithm based on edge betweenness. Many top artists were identified using centrality measures and the communities were found to be related to music style
Bibliographic Note
Includes abstract, bibliographical references
Associated Subjects
Associated Persons
Alternative Number
Control Number Identifier: 956552286
