Pocket switched networks and human mobility in conference environments
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Bluetooth Inquiry Time Characterization and Selection
IEEE Transactions on Mobile Computing
Wireless Positioning Technologies and Applications
Wireless Positioning Technologies and Applications
Bluetooth Tracking without Discoverability
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Learning systems of concepts with an infinite relational model
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Location-Based Services and Privacy in Airports
INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part I
Brief encounters: Sensing, modeling and visualizing urban mobility and copresence networks
ACM Transactions on Computer-Human Interaction (TOCHI)
Discovering human places of interest from multimodal mobile phone data
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Social fMRI: Investigating and shaping social mechanisms in the real world
Pervasive and Mobile Computing
Analytical workflow of monitoring human mobility in big event settings using Bluetooth
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Instrumenting the city: developing methods for observing and understanding the digital cityscape
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
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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.