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An individual-level ground truth dataset for home location detection
16 references·0 citing·44 second hop
An individual-level ground truth dataset for home location detection (2020)An individual-level ground truth dataset …scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)scikit-mobility : A Python Li…Measuring objective and subjective well-being: dimensions and data sources (2020)Measuring objective and subje…Exploring the use of mobile phone data for national migration statistics (2019)Exploring the use of mobile p…On the privacy-conscientious use of mobile phone data (2018)On the privacy-conscientious …Human mobility: Models and applications (2018)Human mobility: Models and ap…An analytical framework to nowcast well-being using mobile phone data (2016)An analytical framework to no…Social Media Fingerprints of Unemployment (2015)Social Media Fingerprints of …Small Area Model-Based Estimators Using Big Data Sources (2015)Small Area Model-Based Estima…Returners and explorers dichotomy in human mobility (2015)Returners and explorers dicho…Official statistics and Big Data (2014)Official statistics and Big D…Dynamic population mapping using mobile phone data (2014)Dynamic population mapping us…Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda (2012)Inferring patterns of interna…Friendship and mobility (2011)Friendship and mobilityUsing Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Network Diversity and Economic Development (2010)Network Diversity and Economi…Modelling the scaling properties of human mobility (2010)Modelling the scaling propert…WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)The Strength of Weak Ties (1973)The Strength of Weak Ties: A Network Theory Revisited (1983)Structural Holes (1992)Digital Footprints: Opportunities and Challenges for Online Social Research (2014)European commitment to COP21 and the role of energy consumption, FDI, trade and economic complexity in sustaining economic growth (2020)Social capital I: measurement and associations with economic mobility (2022)Understanding individual human mobility patterns (2008)Computational Social Science (2009)Limits of Predictability in Human Mobility (2010)A survey of results on mobile phone datasets analysis (2015)Human development report 2015: work for human development (2015)Predicting poverty and wealth from mobile phone metadata (2015)Development as freedom (2000)Development as Freedom (2009)Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh (2016)Mobile Money and the Economy: A Review of the Evidence (2018)Mobile phone location data for disasters: A review from natural hazards and epidemics (2022)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)The scaling laws of human travel (2006)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti (2011)Predicting personality from patterns of behavior collected with smartphones (2020)Future directions in human mobility science (2023)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. (2000)A Survey on Deep Learning for Human Mobility (2021)Assessing veracity of big data: An in-depth evaluation process from the comparison of Mobile phone traces and groundtruth data in traffic monitoring (2024)Social Protection in Developing Countries: Legal, Economic, and Social Trends (2025)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The universal visitation law of human mobility (2021)The scales of human mobility (2020)A survey on deep learning for human mobility (2023)
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References

  • 2011Friendship and mobility2,912 cited
  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2018Human mobility: Models and applications1,032 cited
  • 2014Dynamic population mapping using mobile phone data908 cited
  • 2010Network Diversity and Economic Development772 cited
  • 2015Returners and explorers dichotomy in human mobility491 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2020Measuring objective and subjective well-being: dimensions and data sources366 cited
  • 2012Inferring patterns of internal migration from mobile phone call records: evidence from Rwanda171 cited
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  • 2015Social Media Fingerprints of Unemployment165 cited
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  • 2015Small Area Model-Based Estimators Using Big Data Sources93 cited

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2019
Exploring the use of mobile phone data for national migration statistics
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