TY - JOUR
T1 - Leveraging Bluetooth co-location traces in group discovery algorithms
AU - Boston, Daniel
AU - Mardenfeld, Steve
AU - Pan, Juan
AU - Jones, Quentin
AU - Iamnitchi, Adriana
AU - Borcea, Cristian
N1 - Funding Information:
This research was supported by the NSF under Grants CNS 0831753 and CNS 0831785 . Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsor.
PY - 2014/4
Y1 - 2014/4
N2 - Smart phones can collect and share Bluetooth co-location traces to identify ad hoc or semi-permanent social groups, which can enhance recommender systems or allow detection of epidemic events. Group discovery using Bluetooth co-location is practical due to low power consumption, short range, and applicability to decentralization. This paper presents the Group Discovery using Co-location traces (GDC) and Decentralized GDC (DGDC) algorithms, which leverage user meeting frequency and duration to accurately detect groups. GDC and DGDC are validated on one month of data collected from 141 smart phones carried by students on our campus, and by comparison against ground truth groups.
AB - Smart phones can collect and share Bluetooth co-location traces to identify ad hoc or semi-permanent social groups, which can enhance recommender systems or allow detection of epidemic events. Group discovery using Bluetooth co-location is practical due to low power consumption, short range, and applicability to decentralization. This paper presents the Group Discovery using Co-location traces (GDC) and Decentralized GDC (DGDC) algorithms, which leverage user meeting frequency and duration to accurately detect groups. GDC and DGDC are validated on one month of data collected from 141 smart phones carried by students on our campus, and by comparison against ground truth groups.
KW - Co-location traces
KW - Distributed computing
KW - Group discovery
KW - Mobile social computing
KW - Smart phones
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U2 - 10.1016/j.pmcj.2012.10.003
DO - 10.1016/j.pmcj.2012.10.003
M3 - Article
AN - SCOPUS:84897112343
SN - 1574-1192
VL - 11
SP - 88
EP - 105
JO - Pervasive and Mobile Computing
JF - Pervasive and Mobile Computing
ER -