English

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