Implicit None

Authors: Alex Berke, Ronan Doorley, Kent Larson, Esteban Moro Publication: arXiv preprint arXiv:2201.01139 (2022). Link Abstract: Location data collected from mobile devices represent mobility behaviors at individual and societal levels. These data have important applications ranging from transportation planning to epidemic modeling. However, issues must be overcome to best serve these use cases: The data often represent a limited sample of the population and use of the data jeopardizes privacy. ...

Introduction Unless you have been away for the last month, you, your family or friends have been talking about or playing Wordle. It is a very straightforward game which reminds us (old enough) of the great MasterMind, but with words. The idea is very simple. In the original version by Josh Wardle, we try to guess a (English) word of five letters. After each guess the game shows you what letters are in the answer in the right position (green), in the answer but in a wrong position (yellow) or not in the answer at all (gray). ...

Like ecosystems, societies with adaptable economies are best prepared for the future. We started a research program to understand and detect economic resilience encoded in the dependency networks of agents, businesses, cities, or jobs. In particular, how much of the adaptability of our economies depends on the fragility of those economic networks? Can we identify weaknesses and design policies to strengthen those interdependent units? Using highly detailed information about jobs, skills, and cities, our foundational study extended traditional economic models to show that the network structure of interactions and flows between jobs determines the resilience of labor markets. ...

Temporal, structural and activity patterns in social networks are related to human behavior. Thus, networks do have different shape and dynamics under different exogenous and endogenous shocks or conditions. In the last years we have addressed the question of whether we can use our understanding of social networks to anticipate, predict or measure important phenomena as information propagation, disaster damage, unemployment shocks, weather conditions, gender digital divide, etc. For example in a series of papers, we demonstrated for the first time the ability of the so-called “friendship paradox” in social networks to get better collection of users (sensors) that can anticipate meme, news or event-related information propagation in networks. ...

Authors: Iñaki Ucar, Marco Gramaglia, Marco Fiore, Zbigniew Smoreda, and Esteban Moro Publication: J. R. Soc. Interface (2021). Link Abstract: Reliable and timely information on socio-economic status and divides is critical to social and economic research and policing. Novel data sources from mobile communication platforms have enabled new cost-effective approaches and models to investigate social disparity, but their lack of interpretability, accuracy or scale has limited their relevance to date. ...

Authors: Esteban Moro, Dan Calacci, Xiaowen Dong & Alex Pentland. Publication: Nature Communications 12, 4633 (2021). Link Abstract: Traditional understanding of urban income segregation is largely based on static coarse grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4. ...