DocumentCode :
3157114
Title :
The geographic flow of music
Author :
Lee, Chi-Kwan ; Cunningham, Padraig
Author_Institution :
Clique Res. Cluster, Univ. Coll. Dublin, Dublin, Ireland
fYear :
2012
fDate :
26-29 Aug. 2012
Firstpage :
691
Lastpage :
695
Abstract :
The social media website last.fm provides a detailed snapshot of what its users in hundreds of cities listen to each week. After suitably normalizing this data, we use it to test one hypothesis related to the geographic flow of music: that some cities are consistently early adopters of new music (and early to snub stale music). To test this hypothesis, we adapt a method previously used to detect the leadership networks present in flocks of birds. We find empirical support for the claim that a similar leadership network exists among cities.
Keywords :
music; social networking (online); bird flocks; geographic music flow; last.fm; leadership networks; social media Website; Cities and towns; Correlation; Music; Social network services; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-2497-7
Type :
conf
DOI :
10.1109/ASONAM.2012.237
Filename :
6425689
Link To Document :
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