DocumentCode :
162372
Title :
MuSeNet: Natural patterns in the music artists industry
Author :
Barina, Gabriel ; Topirceanu, Alexandru ; Udrescu, Mihai
Author_Institution :
Dept. of Comput. & Inf. Technol., “Politeh.” Univ. of Timisoara, Timisoara, Romania
fYear :
2014
fDate :
15-17 May 2014
Firstpage :
317
Lastpage :
322
Abstract :
Motivated by the constantly growing interest and real-world applicability shown in social networks, we model and analyze the network formed by music artists all around the world, which we call MuSeNet. Inspired by a similar landmark approach in actors´ network, we compare our analytical results with the generic Facebook friendship model and with the IMDB network of Hollywood actors. We are the first to create such a network, and by using centrality measures we discover that the most influential node in MuSeNet - the Kevin Bacon of music - is the vocal artist and producer Dave Grohl. In light of current advances in social networks, we also highlight the importance of music producers in terms of meritocracy versus topological positioning. Finally, we show that MuSeNet has a characteristic sociability - a measure which is introduced in this paper - in comparison with other empirical networks.
Keywords :
music; social networking (online); Dave Grohl; Hollywood actors; IMDB network; Kevin Bacon; MuSeNet; centrality measure; generic Facebook friendship model; meritocracy; music artist network; music artists industry; music producers; natural patterns; sociability; social network; topological positioning; vocal artist; Collaboration; Communities; Databases; Facebook; Industries; Motion pictures; complex networks; influence; music artists; network comparison; sociability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on
Conference_Location :
Timisoara
Type :
conf
DOI :
10.1109/SACI.2014.6840084
Filename :
6840084
Link To Document :
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