activity
20172026
most citedMapping the NFT revolution: market trends, trade networks and visual features

652 citations · 1.1k across the 12 of their papers we have counts for

collaborators

16 papers

physics.soc-ph2026

The limits of visitation entropy as a summary of mobility patterns

Sílvia 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…

physics.soc-ph2026

Women's mobility networks enable more efficient travel

Sílvia 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…

physics.soc-ph2026

Urban mobility enables deprivation bubble breaking in Indian and Mexican cities

Yuan Liao, Federico Delussu, Sílvia de Sojo +2

Urban deprivation is traditionally measured using static, residence-based indicators, capturing the socioeconomic, demographic, and spatial conditions of neighborhoods. However, th…

cs.SI2025

HoWDe: a validated algorithm for Home and Work location Detection

Sílvia De Sojo, Lorenzo Lucchini, Ollin D. Langle-Chimal +2

Smartphone location data have become a key resource for understanding urban mobility, yet extracting actionable insights requires robust and reproducible preprocessing pipelines. A…

physics.soc-ph2021358 cited

The Scales of Human Mobility

Laura Alessandretti, Ulf Aslak, Sune Lehmann

There is a contradiction at the heart of our current understanding of individual and collective mobility patterns. On one hand, a highly influential stream of literature on human m…

physics.soc-ph2021

From centre to centres: polycentric structures in individual mobility

Rohit Sahasrabuddhe, Renaud Lambiotte, Laura Alessandretti

The availability of large-scale datasets collected via mobile phones has opened up opportunities to study human mobility at an individual level. The granular nature of these datase…