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Identifying Common Periodicities in Mobile Service Demands with Spectral Analysis.

, , , , and . MedComNet, page 1-8. IEEE, (2020)

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Identifying Common Periodicities in Mobile Service Demands with Spectral Analysis., , , , and . MedComNet, page 1-8. IEEE, (2020)Urban-scale cellular offloading through Wi-Fi access points: A measurement-based case study., , , , , , and . RTSI, page 132-137. IEEE, (2015)Chatty Mobiles:Individual mobility and communication patterns, , and . CoRR, (2013)Le Paris des visiteurs étrangers, qu'en disent les téléphones mobiles - Inférence des pratiques spatiales et fréquentations des sites touristiques en Île-de-France., , , and . Rev. Int. Géomatique, 22 (3): 413-437 (2012)Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal., , , and . xAI (2), volume 1902 of Communications in Computer and Information Science, page 110-125. Springer, (2023)Second-level Digital Divide: A Longitudinal Study of Mobile Traffic Consumption Imbalance in France., , and . WWW, page 2532-2540. ACM, (2022)Inferring and Modeling Migration Flows Using Mobile Phone Network Data., , , , , and . IEEE Access, (2019)Does Showing Off Help to Make Friends? Experimenting a Sociological Game on Self-Exhibition and Social Networks., , , , , , , , , and . ICWSM, The AAAI Press, (2009)Out of Sight Out of Mind-How Our Mobile Social Network Changes during Migration., , , and . SocialCom/PASSAT, page 515-520. IEEE Computer Society, (2011)Mobile App Consumption and Political Orientation., , , , and . INFOCOM (Workshops), page 1-2. IEEE, (2024)