Leveraging geotagged Twitter data to examine neighborhood happiness, diet, and physical activity

Applied Geography

Volumn 73, Issue , 2016, Pages 77-88

  Nguyen, Quynh C ^a   Kath, Suraj ^b   Meng, Hsien Wen ^a   Li, Dapeng ^a   Smith, Ken R ^a   VanDerslice, James A ^c   Wen, Ming ^a   Li, Feifei ^b  

^a UNIVERSITY OF UTAH   (United States)

^b University of Utah   (United States)

^c UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

Author keywords

Diet; Food; Happiness; Neighborhood; Physical activity; Twitter messaging

Indexed keywords

ALGORITHM; CENSUS; DIET; FOOD; NEIGHBORHOOD; PHYSICAL ACTIVITY; SOCIAL MEDIA;

CALIFORNIA; NEW YORK COUNTY; NEW YORK [UNITED STATES]; SALT LAKE COUNTY; SAN FRANCISCO COUNTY; UNITED STATES; UTAH;

EID: 84976389296     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2016.06.003     Document Type: Article

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