The familiar stranger: anxiety, comfort, and play in public places
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
PFlow: Reconstructing People Flow Recycling Large-Scale Social Survey Data
IEEE Pervasive Computing
Beyond mobile collaboration: toward metropolitan-scale geocentric crowdsourcing
Proceedings of the 2nd international workshop on Ubiquitous crowdsouring
Reducing the sparsity of contextual information for recommender systems
Proceedings of the sixth ACM conference on Recommender systems
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As people visit various places in their daily lives, connections are formed between people via places (co-presence), and between places via people (overlapping). This paper introduces a method for modeling social and geographical context based on colocation networks in human mobility datasets. Applying the method to a metropolitan-scale mobility dataset reveals a variety of place groups that can be considered in the design of urban ubicomp applications.