@inproceedings{2811ad96f1aa4b00909c093f838b5cf8,
title = "Cultural attributes and their influence on consumption patterns in popular music",
abstract = "In this paper we leverage recent developments in the way scholars access, collect, and analyze data to reexamine consumption dynamics in popular music. Using web-based tools to construct a dataset that distills songs{\textquoteright} musical content into a handful of discrete attributes, we test whether and how these attributes affect a song{\textquoteright}s position on the Billboard Hot 100 charts. Our analysis suggests that attributes matter, beyond the effect of artist, label, and genre affiliation. We also find evidence that the relational patterns formed between attributes-what we call cultural networks-crowds songs that are too similar to their neighbors, adversely affecting their movement up the charts. These results suggest that culture possesses its own sphere of influence that is partially independent of the actors who produce and consume it.",
keywords = "Attributes, Consumption, Culture, Music, Networks",
author = "Noah Askin and Michael Mauskapf",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2014.; 6th International Conference on Social Informatics, SocInfo 2014 ; Conference date: 11-11-2014 Through 13-11-2014",
year = "2014",
doi = "10.1007/978-3-319-13734-6_36",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "508--530",
editor = "Aiello, {Luca Maria} and Daniel McFarland",
booktitle = "Social Informatics - 6th International Conference, SocInfo 2014, Proceedings",
}