DocumentCode
189293
Title
MuSeNet: Collaboration in the Music Artists Industry
Author
Topirceanu, Alexandru ; Barina, Gabriel ; Udrescu, Mihai
Author_Institution
Dept. of Comput. & Inf. Technol., Politeh. Univ. of Timisoara, Timisoara, Romania
fYear
2014
fDate
29-30 Sept. 2014
Firstpage
89
Lastpage
94
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 similar approaches, we compare our analytic results with generic online friendship models and with the collaboration networks of actors. We are the first to fully create such a network, and by using centrality measures, we discover the most influential nodes in MuseNet. In light of current advances in social networks, we also highlight the importance of music producers in terms of meritocracy versus topological positioning, and discuss the differentiation between collaboration networks using a network fidelity approach. Finally, we show that MuseNet has a characteristic sociability -- a measure which is introduced in this paper - in comparison with other empirical networks.
Keywords
groupware; music; social networking (online); MuSeNet; centrality measures; collaboration networks; meritocracy; music artists industry; network fidelity approach; social networks; topological positioning; Collaboration; Communities; Complex networks; Facebook; Measurement; Twitter; complex networks; music artists; network comparison; sociability; social media;
fLanguage
English
Publisher
ieee
Conference_Titel
Network Intelligence Conference (ENIC), 2014 European
Conference_Location
Wroclaw
Type
conf
DOI
10.1109/ENIC.2014.10
Filename
6984896
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