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Another shortcoming of this area of research comes from the current difficulty of gaining access to those mobile phone datasets, especially to cross-border mobility.
The recent availability of mobile phone datasets have led to many discoveries on human behavior.
The number of possible research questions on mobile phone datasets is gigantic.
In this paper, we review some advances made recently in the study of mobile phone datasets.
Those same trends have also been observed in later studies of mobile phone datasets [41].
The communication networks obtained by using mobile phone datasets have drawn increasing attention in recent years.
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See the Methods section for further description of the mobile phone dataset.
Their purpose is to make suggestions for development, on the basis of the observations extracted from the mobile phone dataset.
In [35], Ahn et al. show how overlapping communities can be detected by partitioning edges rather than nodes, and illustrated their methods with a mobile phone dataset.
This approach is intended to highlight the importance of all dimensions in describing the human behavior in a mobile phone dataset.
The latter represents the overall multiplex network captured by the mobile phone dataset since (mathcal {D}_{textit {cs}}) is merged with the co-location network.
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