email@example.com / (213) 740-5910/ AHF B55
Ph.D. 2015, Geography (Geographic Information Science), University of Georgia, Athens, Georgia
M.S. 2011, Geographic Information Science, Eastern Michigan University, Ypsilanti, Michigan
B.E. 2009, Software Engineering, Wuhan University, Hubei, China
Wei Yang, Ph.D., is Lecturer in Spatial Sciences with the Spatial Sciences Institute at the University of Southern California. She teaches courses in both Graduate Programs in Geographic Information Science & Technology and the M.S. in Spatial Informatics Program.
She received her Ph.D. in Geography (Geographic Information Science) at the University of Georgia, Athens, Georgia, in 2015. Her dissertation was on “GIS analysis of geographically distributed health issues using location-based social media data.” She focused on spatiotemporal clustering analysis of depressive Twitter users using more than 600 million tweets downloaded from Twitter streaming APIs. She also analyzed the socioeconomic and climatic risk factors for depression. One highlight from her research is that an advanced text mining algorithm – Non-negative Matrix Factorization – was adopted to automatically detect depressed Twitter users by differentiating the word context related to depression from those not related to depression. She has published two articles in Journal of Applied Geography – one of the top 5 journal in Geography. Her ongoing research also includes studying the effect of traffic on negative mood during rush hours using Twitter data.
She is a member of the Association of American Geographers, Association of Pacific Coast Geographers, the Southeastern Division of the Association of American Geographers, and the International Association of Chinese Professionals in Geographic Information Science.