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Home detection, assigning a phone device to its home antenna, is a ubiquitous part of most studies in the literature on mobile phone data.
Using mobile positioning data to model locations meaningful to users of mobile phones
Rein Ahas, Siiri Silm, Olle Järv, Erki Saluveer, and Margus Tiru · 2010
Earlier work this paper cites.
Network diversity and economic development
Nathan Eagle, Michael Macy, and Rob Claxton · 2010
Earlier work this paper cites.
Towards large scale technology impact analyses: Automatic residential localization from mobile phone-call data
Vanessa Frias-Martinez, Jesus Virseda, Alberto Rubio, and Enrique Frias-Martinez · 2010
Earlier work this paper cites.
Modelling the scaling properties of human mobility
Chaoming Song, Tal Koren, Pu Wang, and Albert-László Barabási · 2010
Earlier work this paper cites.
Friendship and mobility: user movement in location-based social networks
Eunjoon Cho, Seth A Myers, and Jure Leskovec · 2011
Earlier work this paper cites.
Human mobility, social ties, and link prediction
Dashun Wang, Dino Pedreschi, Chaoming Song, Fosca Giannotti, and Albert-Laszlo Barabasi · 2011
Earlier work this paper cites.
Inferring patterns of internal migration from mobile phone call records: evidence from rwanda
Joshua E. Blumenstock · 2012
Earlier work this paper cites.
On the relation between socio-economic status and physical mobility
Vanessa Frias-Martinez, Jesus Virseda-Jerez, and Enrique Frias-Martinez · 2012
Earlier work this paper cites.
Socio-geography of human mobility: A study using longitudinal mobile phone data
Santi Phithakkitnukoon, Zbigniew Smoreda, and Patrick Olivier · 2012
Earlier work this paper cites.
Unique in the crowd: The privacy bounds of human mobility
Yves-Alexandre de Montjoye, César A Hidalgo, Michel Verleysen, and Vincent D Blondel · 2013
Earlier work this paper cites.
Dynamic population mapping using mobile phone data
Pierre Deville, Catherine Linard, Samuel Martin, Marius Gilbert, Forrest R. Stevens, Andrea E. Gaughan, Vincent D. Blondel, and Andrew J. Tatem · 2014
Earlier work this paper cites.
A world that counts: mobilizing the data revolution for sustainable development
Data Revolution Group · 2014
Earlier work this paper cites.
Official statistics and big data
Peter Struijs, Barteld Braaksma, and Piet JH Daas · 2014
Earlier work this paper cites.
City users’ classification with mobile phone data
Lorenzo Gabrielli, Barbara Furletti, Roberto Trasarti, Fosca Giannotti, and Dino Pedreschi · 2015
Earlier work this paper cites.
Social media fingerprints of unemployment
Alejandro Llorente, Manuel Garcia-Herranz, Manuel Cebrian, and Esteban Moro · 2015
Cited alongside, same era.
Returners and explorers dichotomy in human mobility
Pappalardo Luca, Simini Filippo, Rinzivillo Salvatore, Pedreschi Dino, Giannotti Fosca, and Barabási Albert-László · 2015
Cited alongside, same era.
Quantifying socio-economic indicators in developing countries from mobile phone communication data: applications to côte d’ivoire
Huina Mao, Xin Shuai, Yong-Yeol Ahn, and Johan Bollen · 2015
Cited alongside, same era.
Small area model-based estimators using big data sources
Stefano Marchetti, Caterina Giusti, Monica Pratesi, Nicola Salvati, Fosca Giannotti, Dino Pedreschi, Salvatore Rinzivillo, Luca Pappalardo, and Lorenzo Gabrielli · 2015
Cited alongside, same era.
Indicators and a monitoring framework for the sustainable development goals
Leadership Council Sustainable Development Solutions Network · 2015
Cited alongside, same era.
On the privacy-conscientious use of mobile phone data
Yves-Alexandre de Montjoye, Sébastien Gambs, Vincent Blondel, Geoffrey Canright, Nicolas de Cordes, Sébastien Deletaille, Kenth Engø-Monsen, Manuel Garcia-Herranz, Jake Kendall, Cameron Kerry, Gautier Krings, Emmanuel Letouzé, Miguel Luengo-Oroz, Nuria Oliver, Luc Rocher, Alex Rutherford, Zbigniew Smoreda, Jessica Steele, Erik Wetter, Alex “Sandy” Pentland, and Linus Bengtsson · 2018
Later among the works it cites.
Assessing the quality of home detection from mobile phone data for official statistics
Maarten Vanhoof, Fernando Reis, Thomas Ploetz, and Zbigniew Smoreda · 2018
Later among the works it cites.
Privacy in trajectory micro-data publishing : a survey
Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Franccoise Fessant, Dominique Le Hello, Ulrich Matchi Aivodji, Baptiste Olivier, Tony Quertier, and Razvan Stanica · 2019
Later among the works it cites.
Computational socioeconomics
Jian Gao, Yi-Cheng Zhang, and Tao Zhou · 2019
Later among the works it cites.
Inferring and modeling migration flows using mobile phone network data
Soranan Hankaew, Santu Phithakkitnukoon, Merkebe G. Demissie, Lina Kattan, Zbigniew Smoreda, and Carlo Ratti · 2019
Later among the works it cites.
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Using big data to study the link between human mobility and socio-economic development
Luca Pappalardo, Dino Pedreschi, Zbigniew Smoreda, and Fosca Giannotti · 2015
Cited alongside, same era.
Mobile phone call data as a regional socio-economic proxy indicator
Sanja Šćepanović, Igor Mishkovski, Pan Hui, Jukka K Nurminen, and Antti Ylä-Jääski · 2015
Cited alongside, same era.
Population estimation from mobile network traffic metadata
Ghazaleh Khodabandelou, Vincent Gauthier, Mounim A. El-Yacoubi, and Marco Fiore · 2016
Cited alongside, same era.
An analytical framework to nowcast well-being using mobile phone data
Luca Pappalardo, Maarten Vanhoof, Lorenzo Gabrielli, Zbigniew Smoreda, Dino Pedreschi, and Fosca Giannotti · 2016
Cited alongside, same era.
Inferring personal economic status from social network location
Shaojun Luo, Flaviano Morone, Carlos Sarraute, Matías Travizano, and Hernán A Makse · 2017
Cited alongside, same era.
A data mining approach to assess privacy risk in human mobility data
Roberto Pellungrini, Luca Pappalardo, Francesca Pratesi, and Anna Monreale · 2017
Cited alongside, same era.
Human mobility: Models and applications
Hugo Barbosa, Marc Barthelemy, Gourab Ghoshal, Charlotte R. James, Maxime Lenormand, Thomas Louail, Ronaldo Menezes, José J. Ramasco, Filippo Simini, and Marcello Tomasini · 2018
Cited alongside, same era.
Exploring the use of mobile phone data for national migration statistics
Shengjie Lai, Elisabeth zu Erbach-Schoenberg, Carla Pezzulo, Nick W. Ruktanonchai, Alessandro Sorichetta, Jessica Steele, Tracey Li, Claire A. Dooley, and Andrew J. Tatem · 2019
Later among the works it cites.
Dynamic estimation of individual exposure levels to air pollution using trajectories reconstructed from mobile phone data
Mingxiao Li, Song Gao, Feng Lu, Huan Tong, and Hengcai Zhang · 2019
Later among the works it cites.
Predicting city poverty using satellite imagery
Simone Piaggesi, Laetitia Gauvin, Michele Tizzoni, Ciro Cattuto, Natalia Adler, Stefaan Verhulst, Andrew Young, Rhiannan Price, Leo Ferres, and André Panisson · 2019
Later among the works it cites.
Population dynamics based on mobile phone data to improve air pollution exposure assessments
Miguel Picornell, Tomás Ruiz, Rafael Borge, Pedro García-Albertos, David de la Paz, and Julio Lumbreras · 2019
Later among the works it cites.
scikit-mobility: a python library for the analysis, generation and risk assessment of mobility data, 2020
Luca Pappalardo, Filippo Simini, Gianni Barlacchi, and Roberto Pellungrini · 2020
Closest in time.
Modeling adversarial behavior against mobility data privacy
Roberto Pellungrini, Luca Pappalardo, Filippo Simini, and Anna Monreale · 2020
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A method to estimate population densities and electricity consumption from mobile phone data in developing countries
Hadrien Salat, Zbigniew Smoreda, and Markus Schläpfer · 2020
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Performance and Sensitivities of Home Detection on Mobile Phone Data
Maarten Vanhoof, Clement Lee, and Zbigniew Smoreda · 2020
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Measuring objective and subjective well-being: dimensions and data sources
Vasiliki Voukelatou, Lorenzo Gabrielli, Ioanna Miliou, Stefano Cresci, Rajesh Sharma, Maurizio Tesconi, and Luca Pappalardo · 2020
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