422 citations · 1.2k across the 19 of their papers we have counts for
8 papers · 1 filter
Future Directions in Human Mobility Science
Luca Pappalardo, Ed Manley, Vedran Sekara +1
We provide a brief review of human mobility science and present three key areas where we expect to see substantial advancements. We start from the mind and discuss the need to bett…
Socioeconomic reorganization of communication and mobility networks in response to external shocks
Ludovico Napoli, Vedran Sekara, Manuel García-Herranz +1
Socioeconomic segregation patterns in networks usually evolve gradually, yet they can change abruptly in response to external shocks. The recent COVID-19 pandemic and the subsequen…
Are machine learning technologies ready to be used for humanitarian work and development?
Vedran Sekara, Márton Karsai, Esteban Moro +6
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…
Biases in human mobility data impact epidemic modeling
Frank Schlosser, Vedran Sekara, Dirk Brockmann +1
Large-scale human mobility data is a key resource in data-driven policy making and across many scientific fields. Most recently, mobility data was extensively used during the COVID…
Mobile Phone Data for Children on the Move: Challenges and Opportunities
Vedran Sekara, Elisa Omodei, Laura Healy +5
Today, 95% of the global population has 2G mobile phone coverage and the number of individuals who own a mobile phone is at an all time high. Mobile phones generate rich data on bi…
The Chaperone Effect in Scientific Publishing
Vedran Sekara, Pierre Deville, Sebastian Ahnert +3
Experience plays a critical role in crafting high impact scientific work. This is particularly evident in top multidisciplinary journals, where a scientist is unlikely to appear as…
Fundamental structures of dynamic social networks
Vedran Sekara, Arkadiusz Stopczynski, Sune Lehmann
Social systems are in a constant state of flux with dynamics spanning from minute-by-minute changes to patterns present on the timescale of years. Accurate models of social dynamic…
The Strength of Friendship Ties in Proximity Sensor Data
Vedran Sekara, Sune Lehmann
Understanding how people interact and socialize is important in many contexts from disease control to urban planning. Datasets that capture this specific aspect of human life have…