Big Social Data for Human Dynamics

Li Z., Huang X., Ye X., Jiang Y., Martin Y., Ning H., Hodgson M., Li X., (2021), Measuring Global Multi-Scale Place Connectivity using Geotagged Social Media DataScientific Reports (in press)

Jiang, Y., Guo, D., Li, Z. Hodgson, M., (2021) A novel big data approach to measure and visualize urban accessibility. Computational Urban Science. 1, 10 (2021).

Martín, Y., Li, Z. Ge, Y., Huang, X. (2021) Introducing Twitter Daily Estimates of Residents and Non-Residents at the County Level. Social Sciences,

Huang X., Li Z., Jiang Y., Li X., Porter D. (2020) Twitter reveals human mobility dynamics during the COVID-19 pandemic, PloS One,

Martín Y., Cutter S.L. Li Z, Emrich C., Mitchell, J.T. (2020) Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane MariaPopulation and Environment ,

Hu L., Li Z., Ye X., (2020) Delineating and Modelling Activity Space Using Geotagged Social Media DataCartography and Geographic Information Science,

Martín Y., Cutter S.L., Li Z., (2020) Bridging social media and survey data for the evacuation assessment of hurricanes, Natural Hazard Review, 21(2),

Jiang Y., Li Z., Cutter S., (2019),  Social network, activity space, sentiment, and evacuation: what can social media tell us?Annals of the American Association of Geographers

Huang X., Wang C., Li Z., (2019) High-Resolution Population Grid in the CONUS using Microsoft Building Footprints: a feasibility study, in Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Humanities, November 5, Chicago, Illinois, USA

Dahal, Kumar, Li Z., (2019), Spatiotemporal Topic Modeling and Sentiment Analysis of Global Climate Change Tweets, Social Network Analysis and Mining (in press)

Hu F., Li Z., Yang C., Jiang Y., (2018) A graph-based approach to detect the tourist movement pattern using social media dataCartography and Geographic Information Science. 

Jiang Y., Li Z., Ye X.,(2018), Measuring inter-city network using digital footprints from Twitter usersProceedings of the 2nd ACM SIGSPATIAL International Workshop on PredictGIS, 11/06/2018, Seattle, Washington, USA (accepted).

Deng, C., Lin, W., Ye, X., Li, Z., Zhang, Z., Xu, G. (2018) Social media data as a proxy for hourly fine-scale electric power consumption estimationEnvrionment and Planning A: Economy and Space.

Jiang Y., Li Z., Ye X. (2018) Understanding Demographic and Socioeconomic Bias of Geotagged Twitter Users at the County LevelCartography and Geographic Information Science

Martín, Y., Li, Z., & Cutter, S. L. (2017). Leveraging Twitter to gauge evacuation compliance: spatiotemporal analysis of Hurricane Matthew. PLoS one, 12(7), e0181701.

Liu X., Huang Q., Li Z. (2017), The impact of MTUP to explore online trajectories for human mobility studiesProceedings of the 1st ACM SIGSPATIAL International Workshop on PredictGIS

Huang Q., Li Z., Li J., (2016), Mining Frequent Trajectory Patterns from Online Footprints7th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS), San Francisco, California, USA.

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