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MobilityGraphs: Visual Analysis of Mass Mobility Dynamics via Spatio-Temporal Graphs and Clustering

Tatiana von Landesberger, Felix Brodkorb, Philipp Roskosch, Natalia Andrienko, Gennady Andrienko, Andreas Kerren
2016 IEEE Transactions on Visualization and Computer Graphics  
The analysis of mobility data is challenging due to the need to analyze and compare spatial situations (i.e., presence and flows of people at certain time moments) and to gain an understanding of the spatio-temporal  ...  Hourly flows of residential Twitter users in Greater London area over a week are spatially and temporally simplified to gain an overview of mobility dynamics.  ...  This research has been partially supported by the EU-funded projects GRACeFUL and SoBigData.  ... 
doi:10.1109/tvcg.2015.2468111 pmid:26529684 fatcat:cvg5itedr5bfxa37zs6vzfxpha

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control [article]

Chuang Yang
2021 arXiv   pre-print
Users can conveniently designate the spatial and temporal ranges for different mobility restriction policies.  ...  Thus, based on big human mobility data and city POI data, an interactive visual analytics system called Epidemic Mobility (EpiMob) was designed in this study.  ...  Mobilitygraphs [44] utilized graph and clustering to visually understand mass mobility dynamics; [13] focused on pattern discovering from geo-tagged social media data; Telcovis [50] explored co-occurrence  ... 
arXiv:2007.03180v3 fatcat:2q6bmugq4bbqthyajo4ysv7dra