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Note: Home Location Detection from Mobile Phone Data: Evidence from Togo
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Note: Home Location Detection from Mobile Phone Data: Evidence from Togo (2022)Note: Home Location Detection from Mobile…Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle (2020)Mobile phone data for informi…A general approach to detecting migration events in digital trace data (2020)A general approach to detecti…Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics (2018)Assessing the Quality of Home…Mapping poverty using mobile phone and satellite data (2017)Mapping poverty using mobile …Improving official statistics in emerging markets using machine learning and mobile phone data (2017)Improving official statistics…Estimating Poverty Using Cell Phone Data: Evidence from Guatemala (2017)Estimating Poverty Using Cell…We Know Where You Are: Home Location Identification in Location-Based Social Networks (2016)We Know Where You Are: Home L…Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal (2016)Inferring Passenger Travel De…Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Activity-Based Human Mobility…Spatiotemporal Detection of Unusual Human Population Behavior Using Mobile Phone Data (2015)Spatiotemporal Detection of U…Big Data as a Source for Official Statistics (2015)Big Data as a Source for Offi…Official statistics and Big Data (2014)Official statistics and Big D…Dynamic population mapping using mobile phone data (2014)Dynamic population mapping us…Location prediction in social media based on tie strength (2013)Location prediction in social…AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data (2013)AllAboard: A System for Explo…Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)Transportation mode inference…Understanding individual human mobility patterns (2008)Understanding mobility based on GPS data (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification (2012)Estimating human trajectories and hotspots through mobile phone data (2014)Transport mode detection based on mobile phone network data: A systematic review (2019)Big data: a revolution that will transform how we live, work, and think (2013)Changes in air passenger demand as a result of the COVID-19 crisis: using Big Data to inform tourism policy (2020)Measuring objective and subjective well-being: dimensions and data sources (2020)A review of scientific advancements in datasets derived from big data for monitoring the Sustainable Development Goals (2021)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)Find me if you can (2010)Inferring social ties from geographic coincidences (2010)You are where you tweet (2010)Hierarchical Discriminative Classification for Text-Based Geolocation (2014)Gaining insights from social media language: Methodologies and challenges. 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(1970)Travel and the Built Environment (2010)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Measuring inequality in community resilience to natural disasters using large-scale mobility data (2021)A Class of Decomposable Poverty Measures (1984)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)Economic Growth and Income Inequality (2019)The scales of human mobility (2020)Microestimates of wealth for all low- and middle-income countries (2022)Reality mining: sensing complex social systems (2005)Is bigger better? The emergence of big data as a tool for international development policy (2014)Mobile Big Data: The Fuel for Data-Driven Wireless (2017)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Big data: The next frontier for innovation, competition, and productivity (2011)Doing Data Science: Straight Talk from the Frontline (2013)Combining official and Google Trends data to forecast the Italian youth unemployment rate (2017)Machine Learning at Central Banks (2017)The Big (data) Bang: Opportunities and Challenges for Compiling SDG Indicators (2019)Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study (2020)Estimating global and regional disruptions to routine childhood vaccine coverage during the COVID-19 pandemic in 2020: a modelling study (2021)A survey on deep learning for human mobility (2023)
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References

  • 2014Dynamic population mapping using mobile phone data908 cited
  • 2020Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle630 cited
  • 2016Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore472 cited
  • 2017Mapping poverty using mobile phone and satellite data329 cited
  • 2010Transportation mode inference from anonymized and aggregated mobile phone call detail records207 cited
  • 2013Location prediction in social media based on tie strength156 cited
  • 2015Big Data as a Source for Official Statistics131 cited
  • 2013AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data123 cited
  • 2014Official statistics and Big Data108 cited
  • 2016Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal90 cited
  • 2018Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics85 cited
  • 2015Spatiotemporal Detection of Unusual Human Population Behavior Using Mobile Phone Data61 cited
  • 2017Improving official statistics in emerging markets using machine learning and mobile phone data41 cited
  • 2020A general approach to detecting migration events in digital trace data40 cited

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  • 2017Estimating Poverty Using Cell Phone Data: Evidence from Guatemala32 cited
  • 2016We Know Where You Are: Home Location Identification in Location-Based Social Networks30 cited
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