We investigate how individual mobile services are consumed at a national scale, by studying data collected in a 3G/4G mobile network deployed over a major European country. Through correlation and clustering analyses, our study unveils a strong heterogeneity in the demand for different mobile services, both in time and space. In particular, we show that: (i) somehow surprisingly, almost all considered services exhibit quite different temporal usage patterns; (ii) in contrast to such temporal behavior, spatial patterns are fairly uniform across all services; (iii) when looking at usage patterns at different locations, the average traffic volume per user is dependent on the urbanization level, yet its temporal dynamics are not. Our findings do not only have sociological implications, but are also relevant to the orchestration of network resources.

About Cristina Márquez

Cristina Márquez is a PhD student within the NETCOM research team at University Carlos III of Madrid (UC3M). Her areas of research interest are Big Data, Data Analytics and Mobile Networks. She obtained her bilingual BSc in Telecommunication Engineering from UC3M in 2015. She enrolled right away in a bilingual Double Master Degree at the same university, where she has already completed an MSc degree in Telematics Engineering in 2017. Cristina Márquez is currently pursuing a second MSc, now focusing in Telecommunication Engineering, along with her PhD in the field of Telematics Engineering.

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