Your English writing platform
Discover LudwigSuggestions(5)
Exact(13)
A mobile phone dataset is transformed in-house and a copy of the data is given to third-parties under a legal contract.
Four data points—approximate places and times where an individual was present have been shown to be enough to uniquely re-identify them 95% of the time in a mobile phone dataset of 1.5 million people6.
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.
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.
The degree of physical proximity that can be extracted from a mobile phone dataset does not equal to measure face-to-face contacts nor to quantify physical interactions.
Similar(47)
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.
Kiukkonen, N., Blom, J., Dousse, O., Gatica-Perez, D. & Laurila, J. Towards rich mobile phone datasets: Lausanne Data Collection Campaign.
Williams and co certainly thinks so and the only question now is whether everybody else involved in analysing mobile phone datasets agrees.
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.
More suggestions(15)
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com