Human interaction discovery in smartphone proximity networks
- 14 December 2011
- journal article
- Published by Springer Science and Business Media LLC in Personal and Ubiquitous Computing
- Vol. 17 (3), 413-431
- https://doi.org/10.1007/s00779-011-0489-7
Abstract
No abstract availableKeywords
This publication has 32 references indexed in Scilit:
- Contextual Grouping: Discovering Real-Life Interaction Types from Longitudinal Bluetooth DataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- GroupUs: Smartphone Proximity Data and Human Interaction Type MiningPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Modeling relational events via latent classesPublished by Association for Computing Machinery (ACM) ,2010
- Virtual Compass: Relative Positioning to Sense Mobile Social InteractionsLecture Notes in Computer Science, 2010
- Inferring friendship network structure by using mobile phone dataProceedings of the National Academy of Sciences of the United States of America, 2009
- Dynamic mixed membership blockmodel for evolving networksPublished by Association for Computing Machinery (ACM) ,2009
- Reality mining: sensing complex social systemsPersonal and Ubiquitous Computing, 2005
- Markov ChainMonteCarloPublished by Wiley ,2005
- Using GPS to learn significant locations and predict movement across multiple usersPersonal and Ubiquitous Computing, 2003
- Understanding and Using ContextPersonal and Ubiquitous Computing, 2001