An unsupervised learning approach to social circles detection in ego bluetooth proximity network

UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Volumn , Issue , 2013, Pages 721-724

  Zheng, Jiangchuan ^a   Ni, Lionel M ^a,b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Bluetooth sensing; Collaborative filtering; Human behavior analysis; Social circle learning

Indexed keywords

HUMAN BEHAVIOR ANALYSIS; INFORMATION SHARING; PROXIMITY NETWORKS; SOCIAL CIRCLES; SOCIAL INTERACTIONS; TEMPORAL DIMENSIONS; UBIQUITOUS APPLICATION; UNSUPERVISED APPROACHES;

COLLABORATIVE FILTERING; SOCIAL SCIENCES; UBIQUITOUS COMPUTING;

BLUETOOTH;

EID: 84885200061     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2493432.2493512     Document Type: Conference Paper

References (7)

1. T. M. T. Do and D. Gatica-Perez. Human interaction discovery in smartphone proximity networks. Personal and Ubiquitous Computing, pages 1-19.
2. N. Eagle and A. Pentland. Reality mining: sensing complex social systems. Personal and Ubiquitous Computing, 10(4):255-268, 2006.
3. N. Eagle, A. Pentland, and D. Lazer. Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences, 106(36):15274-15278, 2009.
4. K. Laasonen, M. Raento, and H. Toivonen. Adaptive on-device location recognition Pervasive Computing, pages 287-304, 2004.
5. M. Lin, W.-J. Hsu, and Z. Q. Lee. Predictability of individuals' mobility with high-resolution positioning data. In Proc. UbiComp 2012, pages 381-390. ACM, 2012.
6. J. McAuley and J. Leskovec. Learning to discover social circles in ego networks. In Proc. NIPS 2012, pages 548-556, 2012.
7. J. Zheng and L. M. Ni. An unsupervised framework for sensing individual and cluster behavior patterns from human mobile data. In Proc. UbiComp 2012, pages 153-162. ACM, 2012.