activity
20212026
most citedSocioeconomic biases in urban mixing patterns of US metropolitan areas

21 citations · 21 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2026

Occupational Convergence or Divergence? Mapping Labor Market Structural Shifts Driven by AI Penetration

Rafiazka Hilman, Julia Koltai

Artificial intelligence (AI) is rapidly becoming a defining feature of contemporary labor markets, yet it remains unclear whether its diffusion is producing a common set of compete…

physics.soc-ph2026

Toward a Hybrid Digital Twin of Society: Quantifying Cognitive-Spatial Linkages Through Online-Offline Feedback Networks

Rafiazka Hilman, Julia Koltai

Digital platforms increasingly shape how people experience and navigate cities, linking virtual information seeking with physical mobility. Despite this interdependence, online and…

cs.SI2023

Mobility Segregation Dynamics and Residual Isolation During Pandemic Interventions

Rafiazka Millanida Hilman, Manuel García-Herranz, Vedran Sekara +1

External shocks embody an unexpected and disruptive impact on the regular life of people. This was the case during the COVID-19 outbreak that rapidly led to changes in the typical…

physics.soc-ph2022

Stratified Mobility, Segregated Boundary, and Socioeconomic Mixing in New York

Rafiazka Millanida Hilman

Mobility cross spatial units represents the embodiment of how people manage activities between locations along temporal sequences. Spatiotemporal pattern nevertheless interacts wit…

physics.soc-ph2021★ 21 cited

Socioeconomic biases in urban mixing patterns of US metropolitan areas

Rafiazka Millanida Hilman, Gerardo Iñiguez, Márton Karsai

Urban areas serve as melting pots of people with diverse socioeconomic backgrounds, who may not only be segregated but have characteristic mobility patterns in the city. While mobi…