Title:
Musical Complexity and Top 40 Chart Performance
Musical Complexity and Top 40 Chart Performance
dc.contributor.author | Parry, Robert Mitchell | |
dc.date.accessioned | 2004-07-27T15:30:34Z | |
dc.date.available | 2004-07-27T15:30:34Z | |
dc.date.issued | 2004 | |
dc.description.abstract | Radio airplay drives record sales and reflects the preferences of popular music consumers. Musical preference is a function of complexity and familiarity in a laboratory setting. Musical pattern recognition research evaluates the similarity of two melodies or rhythms. This project measures the musical complexity or self-dissimilarity of songs in the Billboard modern rock top 40 and associates it with their chart performance. For songs that show short-term and long-term popularity, complexity is positively correlated with overall chart performance. | en |
dc.format.extent | 153945 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1853/50 | |
dc.language.iso | en | |
dc.publisher | Georgia Institute of Technology | en |
dc.relation.ispartofseries | GVU Technical Report;GIT-GVU-04-04 | |
dc.subject | Music | en |
dc.subject | Preference | en |
dc.subject | Complexity | en |
dc.title | Musical Complexity and Top 40 Chart Performance | en |
dc.type | Text | |
dc.type.genre | Technical Report | |
dspace.entity.type | Publication | |
local.contributor.corporatename | GVU Center | |
local.relation.ispartofseries | GVU Technical Report Series | |
relation.isOrgUnitOfPublication | d5666874-cf8d-45f6-8017-3781c955500f | |
relation.isSeriesOfPublication | a13d1649-8f8b-4a59-9dec-d602fa26bc32 |