Networks of Music Groups as Success Predictors
Social and Information Networks
2017-09-27 v1 Physics and Society
Abstract
More than 4,600 non-academic music groups emerged in the USSR and post-Soviet independent nations in 1960--2015, performing in 275 genres. Some of the groups became legends and survived for decades, while others vanished and are known now only to select music history scholars. We built a network of the groups based on sharing at least one performer. We discovered that major network measures serve as reasonably accurate predictors of the groups' success. The proposed network-based success exploration and prediction methods are transferable to other areas of arts and humanities that have medium- or long-term team-based collaborations.
Keywords
Cite
@article{arxiv.1709.08995,
title = {Networks of Music Groups as Success Predictors},
author = {Dmitry Zinoviev},
journal= {arXiv preprint arXiv:1709.08995},
year = {2017}
}
Comments
6 pages, 3 figures