The NetMob23 Dataset: A High-resolution Multi-region Service-level Mobile Data Traffic Cartography Article Swipe

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Orlando E. Martínez-Durive , Sachit Mishra , Cezary Ziemlicki , Stefania Rubrichi , Zbigniew Smoreda , Marco Fiore ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2305.06933

Digital sources have been enabling unprecedented data-driven and large-scale investigations across a wide range of domains, including demography, sociology, geography, urbanism, criminology, and engineering. A major barrier to innovation is represented by the limited availability of dependable digital datasets, especially in the context of data gathered by mobile network operators or service providers, due to concerns about user privacy and industrial competition. The resulting lack of reference datasets curbs the production of new research methods and results, and prevents verifiability and reproducibility of research outcomes. The NetMob23 dataset offers a rare opportunity to the multidisciplinary research community to access rich data about the spatio-temporal consumption of mobile applications in a developed country. The generation process of the dataset sets a new quality standard, leading to information about the demands generated by 68 popular mobile services, geo-referenced at a high resolution of $100\times100$ $m^2$ over 20 metropolitan areas in France, and monitored during 77 consecutive days in 2019.

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Multidisciplinary approach Metropolitan area Context (archaeology) Data science Computer science Service (business) Scale (ratio) Process (computing) Geography Cartography Business Political science Marketing Archaeology Law Operating system

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2305.06933
PDF: https://arxiv.org/pdf/2305.06933
OA Status: green
Cited By: 16
Related Works: 10
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DOI: https://doi.org/10.48550/arxiv.2305.06933

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Title: The NetMob23 Dataset: A High-resolution Multi-region Service-level Mobile Data Traffic Cartography

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Language: en

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Publication year: 2023

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Publication date: 2023-05-11

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Authors: Orlando E. Martínez-Durive, Sachit Mishra, Cezary Ziemlicki, Stefania Rubrichi, Zbigniew Smoreda, Marco Fiore

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Landing page: https://arxiv.org/abs/2305.06933

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Concepts: Multidisciplinary approach, Metropolitan area, Context (archaeology), Data science, Computer science, Service (business), Scale (ratio), Process (computing), Geography, Cartography, Business, Political science, Marketing, Archaeology, Law, Operating system

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Cited by: 16

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