5 papers
The limits of visitation entropy as a summary of mobility patterns
SÃlvia de Sojo, Sune Lehmann, Laura Alessandretti
Visitation entropy, the Shannon entropy of an individual's distribution of visits across locations, is a widely used metric in the human mobility literature. Yet, its widespread us…
Women's mobility networks enable more efficient travel
SÃlvia de Sojo, Sune Lehmann, Laura Alessandretti
Our understanding of gender differences in mobility is marked by a clear tension: surveys portray women's movements as more complex than men's, while digital traces suggest less di…
Adaptive cut reveals multiscale complexity in networks
Louis Boucherie, Yong-Yeol Ahn, Sune Lehmann
Hierarchical clustering and community detection are important problems in machine learning and complex network analysis. A common approach to identify clusters is to simply cut den…
Decoupling geographical constraints from human mobility
Louis Boucherie, Benjamin F. Maier, Sune Lehmann
Driven by access to large volumes of movement data, the study of human mobility has grown rapidly over the past decades. The field has shown that human mobility is scale-free, prop…
Demography-independent behavioural dynamics influenced the spread of COVID-19 in Denmark
Léo Meynent, Michael Bang Petersen, Sune Lehmann +1
Understanding the factors that impact how a communicable disease like COVID-19 spreads is of central importance to mitigate future outbreaks. Traditionally, epidemic surveillance a…