Investigating the lack of diversity in user behavior: The case of musical content on online platforms
作者：
Highlights：
• The index makes it possible to differentiate between different behaviors and identify the diversity of users that listen to contrasting music styles (see Section 5 for details).
• The index highlights a saturation process in the diversity of users’ attention (see Section 6 for details).
• The lack of diversity as captured by the index derives from exogenous factors related to the heterogeneous popularity of music styles, as opposed to internal factors such as recurrent user behavior (see Section 8 for details).
摘要
•The index makes it possible to differentiate between different behaviors and identify the diversity of users that listen to contrasting music styles (see Section 5 for details).•The index highlights a saturation process in the diversity of users’ attention (see Section 6 for details).•The lack of diversity as captured by the index derives from exogenous factors related to the heterogeneous popularity of music styles, as opposed to internal factors such as recurrent user behavior (see Section 8 for details).
论文关键词：Network analysis,Diversity,Tripartite graph,Online platform,Music,Random model
论文评审过程：Received 24 June 2019, Revised 28 October 2019, Accepted 12 November 2019, Available online 28 November 2019, Version of Record 28 November 2019.
论文官网地址：https://doi.org/10.1016/j.ipm.2019.102169
