Predicting popularity through information about trendspotters on music-streaming platforms

Additional Metadata
Keywords	trendsetter, early adopter, music industry, LastFM, popularity prediction, logistic regression, mainstreaminess
Thesis Advisor	Szymanowski, Maciej, Roos, J.M.T.
Persistent URL	hdl.handle.net/2105/57517
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	van Eeden, Patricia. (2021, July 15). Predicting popularity through information about trendspotters on music-streaming platforms. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/57517

Publication