EPJ Data Science

Quantifying human mobility resilience to extreme events using geo-located social media data

Segregation in religion networks

Tracing patterns and shapes in remittance and migration networks via persistent homology

Identifying and predicting social lifestyles in people’s trajectories by neural networks

Unraveling pedestrian mobility on a road network using ICTs data during great tourist events

Commuting patterns: the flow and jump model and supporting data

Understanding the interplay between social and spatial behaviour

Shopping mall attraction and social mixing at a city scale

Mining large-scale human mobility data for long-term crime prediction

Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach

Debye–Hückel theory for refugees’ migration

The canary in the city: indicator groups as predictors of local rent increases

Travelers or locals? Identifying meaningful sub-populations from human movement data in the absence of ground truth

Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan

Resilience analytics: coverage and robustness in multi-modal transportation networks

Predicting the temporal activity patterns of new venues

Understanding predictability and exploration in human mobility