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The last decade has witnessed the emergence of massive mobility data sets, such as tracks generated by GPS devices, call detail records, and geo-tagged posts from social media platforms.
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Lévy walk patterns in the foraging movements of spider monkeys
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Brockmann, D., Hufnagel, L., and Geisel, T. (2006) · 2006
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The package adehabitat for the r software: tool for the analysis of space and habitat use by animals
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Oliphant, T. E. (2006) · 2006
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Matplotlib: A 2d graphics environment
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González, M. C., Hidalgo, C. A., and Barabási, A.-L. (2008) · 2008
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Geolife: Managing and understanding your past life over maps
Zheng, Y., Wang, L., Zhang, R., Xie, X., and Ma, W.-Y. (2008) · 2008
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Real-time numerical forecast of global epidemic spreading: case study of 2009 a/h1n1pdm
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Calenge, C. (2011) · 2011
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Cho, E., Myers, S. A., and Leskovec, J. (2011) · 2011
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Karamshuk, D., Boldrini, C., Conti, M., and Passarella, A. (2011) · 2011
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Wang, D., Pedreschi, D., Song, C., Giannotti, F., and Barabasi, A.-L. (2011) · 2011
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Bagrow, J. P. and Lin, Y.-R. (2012) · 2012
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A tale of many cities: Universal patterns in human urban mobility
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Pebesma, E. (2012) · 2012
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Unique in the crowd: The privacy bounds of human mobility
de Montjoye, Y.-A., Hidalgo, C. A., Verleysen, M., and Blondel, V. D. (2013) · 2013
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Understanding the patterns of car travel
Pappalardo, L., Rinzivillo, S., Qu, Z., Pedreschi, D., and Giannotti, F. (2013) · 2013
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xts: eXtensible Time Series
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Monreale, A., Rinzivillo, S., Pratesi, F., Giannotti, F., and Pedreschi, D. (2014) · 2014
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The purpose of motion: Learning activities from individual mobility networks
Rinzivillo, S., Gabrielli, L., Nanni, M., Pappalardo, L., Pedreschi, D., and Giannotti, F. (2014) · 2014
Cited alongside, same era.
Urban computing: Concepts, methodologies, and applications
Zheng, Y., Capra, L., Wolfson, O., and Yang, H. (2014) · 2014
Human mobility: Models and applications
Barbosa, H., Barthelemy, M., Ghoshal, G., James, C. R., Lenormand, M., Louail, T., Menezes, R., Ramasco, J. J., Simini, F., and Tomasini, M. (2018) · 2018
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On the privacy-conscientious use of mobile phone data
de Montjoye, Y.-A., Gambs, S., Blondel, V., Canright, G., de Cordes, N., Deletaille, S., Engø-Monsen, K., Garcia-Herranz, M., Kendall, J., Kerry, C., Krings, G., Letouzé, E., Luengo-Oroz, M., Oliver, N., Rocher, L., Rutherford, A., Smoreda, Z., Steele, J., Wetter, E., Pentland, A. S., and Bengtsson, L. (2018) · 2018
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Maritime traffic networks: From historical positioning data to unsupervised maritime traffic monitoring
Fernandez Arguedas, V., Pallotta, G., and Vespe, M. (2018) · 2018
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Trajdatamining: Trajectories datamining
Monteiro, D. (2018) · 2018
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Quantifying population exposure to air pollution using individual mobility patterns inferred from mobile phone data
Nyhan, M. M., Kloog, I., Britter, R., Ratti, C., and Koutrakis, P. (2018) · 2018
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The effect of recency to human mobility
Barbosa, H., de Lima-Neto, F. B., Evsukoff, A., and Menezes, R. (2015) · 2015
Cited alongside, same era.
A multi-source dataset of urban life in the city of milan and the province of trentino
Barlacchi, G., De Nadai, M., Larcher, R., Casella, A., Chitic, C., Torrisi, G., Antonelli, F., Vespignani, A., Pentland, A., and Lepri, B. (2015) · 2015
Cited alongside, same era.
A survey of results on mobile phone datasets analysis
Blondel, V. D., Decuyper, A., and Krings, G. (2015) · 2015
Cited alongside, same era.
Trajectories of depression: Unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis
Canzian, L. and Musolesi, M. (2015) · 2015
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Dask: Parallel Computation with Blocked algorithms and Task Scheduling
Matthew Rocklin (2015) · 2015
Cited alongside, same era.
Returners and explorers dichotomy in human mobility
Pappalardo, L., Simini, F., Rinzivillo, S., Pedreschi, D., Giannotti, F., and Barabási, A.-L. (2015) · 2015
Cited alongside, same era.
Data-driven generation of spatio-temporal routines in human mobility
Pappalardo, L. and Simini, F. (2018) · 2018
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trajectories: Classes and Methods for Trajectory Data
Pebesma, E., Klus, B., and Moradi, M. (2018) · 2018
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Prudence: a system for assessing privacy risk vs utility in data sharing ecosystems
Pratesi, F., Monreale, A., Trasarti, R., Giannotti, F., Pedreschi, D., and Yanagihara, T. (2018) · 2018
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Effective injury prediction in professional soccer with gps data and machine learning
Rossi, A., Pappalardo, L., Cintia, P., Iaia, M., Fernández, J., and Medina, D. (2018) · 2018
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Location prediction on trajectory data: A review
Wu, R., Luo, G., Shao, J., Tian, L., and Peng, C. (2018) · 2018
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python-visualization/folium: v0.10.1
Fernandes, F. e. a. (2019) · 2019
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Movingpandas: Efficient structures for movement data in python
Graser, A. (2019) · 2019
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geopandas/geopandas: v0.5.1
Jordahl, K., den Bossche, J. V., Wasserman, J., McBride, J., Gerard, J., Tratner, J., Perry, M., Farmer, C., Gillies, S., Cochran, M., and et al. (2019) · 2019
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Modelling taxi drivers’ behaviour for the next destination prediction
Rossi, A., Barlacchi, G., Bianchini, M., and Lepri, B. (2019) · 2019
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Urban human mobility: Data-driven modeling and prediction
Wang, J., Kong, X., Xia, F., and Sun, L. (2019) · 2019
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Privacy in trajectory micro-data publishing: a survey
Fiore, M., Katsikouli, P., Zavou, E., Cunche, M., Fessant, F., Hello, D. L., Aïvodji, U. M., Olivier, B., Quertier, T., and Stanica, R. (2020) · 2020
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Navigating through the r packages for movement
Joo, R., Boone, M. E., Clay, T. A., Patrick, S. C., Clusella-Trullas, S., and Basille, M. (2020) · 2020
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Deep learning for human mobility: a survey on data and models
Luca, M., Barlacchi, G., Lepri, B., and Pappalardo, L. (2020) · 2020
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Modeling adversarial behavior against mobility data privacy
Pellungrini, R., Pappalardo, L., Simini, F., and Monreale, A. (2020) · 2020
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Performance and Sensitivities of Home Detection on Mobile Phone Data
Vanhoof, M., Lee, C., and Smoreda, Z. (2020) · 2020
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Measuring objective and subjective well-being: dimensions and data sources
Voukelatou, V., Gabrielli, L., Miliou, I., Cresci, S., Sharma, R., Tesconi, M., and Pappalardo, L. (2020) · 2020
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Quantifying the presence of air pollutants over a road network in high spatio-temporal resolution
Bohm, M., Nanni, M., and Pappalardo, L. (2021) · 2021
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Evaluation of home detection algorithms on mobile phone data using individual-level ground truth
Pappalardo, L., Ferres, L., Sacasa, M., Cattuto, C., and Bravo, L. (2021) · 2021
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