Sonar Mobility Data Set
The Sonar data set offers information about mobility exhibited by attendees to the Sonar festival that took place from the 18th to the 20th of June, 2015 in Barcelona, Spain. The Sonar festival is a multistage event with more than 100,000 attendees in two main venues, Sonar by Day and Sonar by Night. We only collected information in the day part from 12:00 to 22:00 in the four simultaneous stages. The data has been anonymized and the location has been reduced to the hall number in order to reduce privacy issues.
10.5281/zenodo.3701591
Barcelona Supercomputing Center is the national supercomputing centre in Spain. Since its establishment in 2005, BSC has developed an active role in fostering HPC in Spain and Europe as an essential tool for international competitiveness in science and engineering.
- José Carlos Carrasco-Jiménez ([email protected])
- Fernando Cucchietti ([email protected])
- Artur Garcia-Saez ([email protected])
- Guillermo Marin ([email protected])
- Luz Calvo ([email protected])
| Number of instances: | Number of attributes: | Date collected: |
|---|---|---|
| 5983855 | 3 | 06/18/2015 - 06/20/2015 |
- id: anonymized ID of user
- location: anonymized user location given as hall number
- timestamp: time at which data was collected in the format "yyyy-mm-dd HH:MM:SS"
Carrasco-Jiménez J.C., Cucchietti F.M., Garcia-Saez A., Marin G., Calvo L. (2019) We Know What You Did Last Sonar: Inferring Preference in Music from Mobility Data. In: Arai K., Bhatia R., Kapoor S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 998. Springer, Cham
@InProceedings{10.1007/978-3-030-22868-2_4, author="Carrasco-Jim{'e}nez, Jos{'e} C. and Cucchietti, Fernando M. and Garcia-Saez, Artur and Marin, Guillermo and Calvo, Luz", editor="Arai, Kohei and Bhatia, Rahul and Kapoor, Supriya", title="We Know What You Did Last Sonar: Inferring Preference in Music from Mobility Data", booktitle="Intelligent Computing", year="2019", publisher="Springer International Publishing", address="Cham", pages="43--61", abstract="Digital music platforms allow us to collect feedback from users in the form of ratings. This type of information is explicit about the users musical preferences. In contrast, intrinsic feedback provides contextual information from which preferences can be inferred, some quite obvious like amount of playing activity, playlists, and others less direct like activity in or components of social networks. Here we focus on physical intrinsic feedback in the form of mobility traces on a music festival with multiple stages, and analyze it to infer music preferences. To the best of our knowledge, this is the first research work that exploits physical contextual clues and human mobility behavior from WiFi traces to approximate ratings that are later used to: (1) measure musical similarity among musical bands, and (2) estimate the effect of loyalty of a physical audience (i.e. going further than measuring sheer number of attendees). As part of this work, we developed a novel metric to measure weighted user rating from the mobility patterns of individuals during a music festival, incorporating physical contextual data in addition to factors commonly used in ranking systems. The experiments reveal groups of people with similar musical preference, and adjusted rankings that identify acts that, even if small, were highly successful in terms of their effect on the audience.", isbn="978-3-030-22868-2" }
The data set is in CSV format.