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Lifestyles are a valuable model for understanding individuals' physical andmental lives, comparing social groups, and making recommendations for improvingpeople's lives. In this paper, we examine and compare lifestyle behaviors ofpeople living in cities of different sizes, utilizing freely available socialmedia data as a large-scale, low-cost alternative to traditional surveymethods. We use the Greater New York City area as a representative for largecities, and the Greater Rochester area as a representative for smaller citiesin the United States. We employed matrix factor analysis as an unsupervisedmethod to extract salient mobility and work-rest patterns for a largepopulation of users within each metropolitan area. We discovered interestinghuman behavior patterns at both a larger scale and a finer granularity than ispresent in previous literature, some of which allow us to quantitativelycompare the behaviors of individuals of living in big cities to those living insmall cities. We believe that our social media-based approach to lifestyleanalysis represents a powerful tool for social computing in the big data age.

Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas