The Journal of Machine Learning Research
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic author-topic models for information discovery
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Sensing and modeling human networks
Sensing and modeling human networks
Socially aware computation and communication
ICMI '05 Proceedings of the 7th international conference on Multimodal interfaces
Machine Learning
A sensor network for social dynamics
Proceedings of the 5th international conference on Information processing in sensor networks
Group and topic discovery from relations and text
Proceedings of the 3rd international workshop on Link discovery
The political blogosphere and the 2004 U.S. election: divided they blog
Proceedings of the 3rd international workshop on Link discovery
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Social Computing: From Social Informatics to Social Intelligence
IEEE Intelligent Systems
IEEE Pervasive Computing
Recovering temporally rewiring networks: a model-based approach
Proceedings of the 24th international conference on Machine learning
Guest Editors' Introduction: Social Computing
IEEE Intelligent Systems
Discovery of activity patterns using topic models
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
What did you do today?: discovering daily routines from large-scale mobile data
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting response to political blog posts with topic models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Modeling and Data Mining in Blogosphere
Modeling and Data Mining in Blogosphere
Social Computing, Behavioral Modeling, and Prediction
Social Computing, Behavioral Modeling, and Prediction
Darwin phones: the evolution of sensing and inference on mobile phones
Proceedings of the 8th international conference on Mobile systems, applications, and services
Quantifying the Trustworthiness of Social Media Content: Content Analysis for the Social Web
Quantifying the Trustworthiness of Social Media Content: Content Analysis for the Social Web
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
Privacy in mobile technology for personal healthcare
ACM Computing Surveys (CSUR)
The social fMRI: measuring, understanding, and designing social mechanisms in the real world
Proceedings of the 13th international conference on Ubiquitous computing
Social fMRI: Investigating and shaping social mechanisms in the real world
Pervasive and Mobile Computing
Modeling the co-evolution of behaviors and social relationships using mobile phone data
Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia
Human behavior understanding for inducing behavioral change: application perspectives
HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
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Exposure and adoption of opinions in social networks are important questions in education, business, and government. We describe a novel application of pervasive computing based on using mobile phone sensors to measure and model the face-to-face interactions and subsequent opinion changes amongst undergraduates, during the 2008 US presidential election campaign. We find that self-reported political discussants have characteristic interaction patterns and can be predicted from sensor data. Mobile features can be used to estimate unique individual exposure to different opinions, and help discover surprising patterns of dynamic homophily related to external political events, such as election debates and election day. To our knowledge, this is the first time such dynamic homophily effects have been measured. Automatically estimated exposure explains individual opinions on election day. Finally, we report statistically significant differences in the daily activities of individuals that change political opinions versus those that do not, by modeling and discovering dominant activities using topic models. We find people who decrease their interest in politics are routinely exposed (face-to-face) to friends with little or no interest in politics.