The surge in usage of mobile applications generates a massive volume of traffic data exhibiting unique dynamics that are hard to unravel. In this work, we leverage factor analysis to pin down recurrent patterns of mobile traffic over the three dimensions of space, time, and services in multi-city measurements of unprecedented resolution. We link the revealed structures of real-world mobile demands to urban fabrics, i.e., the combination of infrastructures and social characteristics that determine the functionality of an urban territory, hence establishing connections between specific city landscapes and the mobile application consumption they create. Our study provides new understanding about the diversity of mobile service dynamics in metropolitan areas, including insights on how economic status drives the adoption of specific applications, how residential versus commercial areas create a dichotomy in application usage, how private and public transports drive surges in the prevalence of different sets of applications, or how nightlife or university studies stimulate the utilization of specific classes of services.

About Sachit Mishra

Sachit Mishra received his bachelor’s in Electronics and Communication from Jaypee University of Engineering and Technology, Guna, India, and his M.Sc  degree in Computer Science from the Politecnico di Torino, Torino, Italy. He is currently pursuing his Ph.D. degree with the Network Data Science Group at IMDEA Networks, Madrid, Spain. During his master’s thesis, he collaborated with Tierra Telematics, developing a machine learning application that enabled the automatic scheduling of the periodic maintenance of industrial vehicles. His main research interests are machine learning, Big Data, data science, data analysis, and remote sensing.

Este evento se impartirá en inglés