4 citations · 5 across the 3 of their papers we have counts for
4 papers
Statistical Laws of Human Mobility under Large-Scale Behavioural Shock
Alberto Amaduzzi, Lucila G. Alvarez-Zuzek, Valeria d'Andrea +8
Human mobility follows robust statistical laws, but whether these laws persist under large, sudden behavioural shocks remains unclear. Here we analyse privacy-enhanced GPS trajecto…
Analysis of COVID-19 first wave in the US based on demographic, mobility, and environmental variables
Dario Spiller, Gabriele Santin, Alessandro Sebastianelli +6
COVID-19 had a strong and disruptive impact on our society, and yet further analyses on most relevant factors explaining the spread of the pandemic are needed. Interdisciplinary st…
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
Kyle K. Qin, Yongli Ren, Wei Shao +3
Sparsity is a common issue in many trajectory datasets, including human mobility data. This issue frequently brings more difficulty to relevant learning tasks, such as trajectory i…
Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
Brennan Klein, Timothy LaRock, Stefan McCabe +13
The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and…