GDC: Group discovery using co-location traces

Document Type

Conference Proceeding

Publication Date

11-29-2010

Abstract

Smart phones can collect and share Bluetooth co-location traces to identify ad hoc or semi-permanent social groups. This information, known to group members but otherwise unavailable, can be leveraged in applications and protocols, such as recommender systems or delay-tolerant forwarding in ad hoc networks, to enhance the user experience. Group discovery using Bluetooth co-location is practical because: (i) Bluetooth is embedded in nearly every phone and has low battery consumption, (ii) the short wireless transmission range can lead to good group identification accuracy, and (iii) privacy-conscious users are more likely to share co-location data than absolute location data. This paper proposes the Group Discovery using Co-location traces (GDC) algorithm, which leverages user meeting frequency and duration to accurately detect groups. GDC is validated on one month of data collected from 141 smart phones carried by students on our campus. Users rated GDC's groups 30% better than groups discovered using the K-Clique algorithm. Additionally, GDC lends itself more easily to a distributed implementation, which achieves similar results with the centralized version while improving user's privacy. © 2010 IEEE.

Identifier

78649246127 (Scopus)

ISBN

[9780769542119]

Publication Title

Proceedings Socialcom 2010 2nd IEEE International Conference on Social Computing Passat 2010 2nd IEEE International Conference on Privacy Security Risk and Trust

External Full Text Location

https://doi.org/10.1109/SocialCom.2010.99

First Page

641

Last Page

648

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