period elapses.

The WeFi datasets represent a real-world, [*live*]{} snapshot of both mobile networks and their users, and have three features that make them especially relevant to our study. First, they contain information on several cities, different for traffic demand profile and network deployment. Furthermore, they include multiple mobile operators, with different deployment strategies, e.g., usage of micro- and macro-cells. Finally, they allow us to know the individual application generating each traffic flow.

The WeFi data has been already used in the field of [*big data*]{}, e.g., in the preliminary analysis [@scott] and follow-up works. The purpose therein was to identify patterns of living, commuting, fast food consumption, work activities and recreation for tens of thousands of people. That case study confirms that the content and quality of the WeFi datasets are sufficient not only for networking studies, but also for social observations and government actions.

[**Dataset available.**]{} While we cannot share the dataset we use, we produced a synthetic trace with the same time and space characteristic of its original counterpart, available for download from [@html]. For more details on the generation of such synthetic traces, the interested reader is referred to [@noi-tmc17].

Enriching the mobile data traces {#sec:enrich}
