Paper Info
Title
Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior
Abstract
In this paper we present a study sensing and analyzing an offline social network of participants at a large-scale music festival attended by 130,000+ participants, and featuring eight days of musical program on 6 stages. Spatio-temporal traces of participant mobility and interactions were collected from 33 Bluetooth scanners placed in strategic locations at the festival area to discover Bluetooth-enabled mobile phones carried by the participants. We employed an Infinite Relational Model (IRM) in order to analyze the collected data and to recover the structure of the network related to participants' music preferences. The obtained structure in the form of clusters of concerts and participants is then interpreted using meta-information about music genres, band origins, stages, and dates of the performances. We show that the concerts' clusters can be described by one or more of the meta-features, effectively revealing preferences of participants. Finally, we discuss the possibility of employing the described method and techniques for creating user-oriented applications and extending the sensing capabilities during large-scale events by introducing user involvement.
Year
DOI
Venue
2013
10.1145/2509352.2509399
Proceedings of the 1st ACM international workshop on Personal data meets distributed multimedia
Keywords
Field
DocType
understanding music festival participant,festival area,infinite relational model,bluetooth scanner,spatio-temporal trace,offline social network,music preference,large-scale music festival,band origin,large-scale event,music genre,mobility
Crowds,Social network,Musical,Computer science,Music festival,Relational model,Multimedia,Bluetooth
Journal
Volume
Citations 
PageRank 
abs/1306.3133
7
0.62
References 
Authors
15
5
Name
Order
Citations
PageRank
Jakob Eg Larsen19218.97
Piotr Sapiezynski2949.35
Arkadiusz Stopczynski310212.52
Morten Mørup470451.29
Rasmus Theodorsen570.62