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Estimation of socioeconomic attributes from location information
8 references·0 citing·39 second hop
Estimation of socioeconomic attributes from location information (2020)Estimation of socioeconomic attributes fr…Predicting neighborhoods’ socioeconomic attributes using restaurant data (2019)Predicting neighborhoods’ soc…Predicting customer’s gender and age depending on mobile phone data (2019)Predicting customer’s gender …Location based services: ongoing evolution and research agenda (2018)Location based services: ongo…Predicting Demographics of High-Resolution Geographies with Geotagged Tweets (2017)Predicting Demographics of Hi…Big Data (2017)Big DataThe International Monetary Fund (2016)The International Monetary Fu…Predicting poverty and wealth from mobile phone metadata (2015)Predicting poverty and wealth…Private traits and attributes are predictable from digital records of human behavior (2013)Private traits and attributes…The Satisfaction With Life Scale (1985)The international personality item pool and the future of public-domain personality measures (2005)Computational Social Science (2009)Automatic personality assessment through social media language. (2014)Tweeting From Left to Right (2015)Facebook language predicts depression in medical records (2018)Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India (2001)Understanding individual human mobility patterns (2008)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States (2017)Economic Growth and Income Inequality (2019)Social physics (2022)Competing on analytics. (2006)Now-Casting and the Real-Time Data Flow (2013)Household Surveys in Crisis (2015)Measuring the Digital Economy (2018)Extracting Knowledge From On-Line Sources for Software Engineering Labor Market: A Mapping Study (2019)World Seaborne Trade in Real Time: A Proof of Concept for Building AIS-based Nowcasts from Scratch (2020)Geographical information science (1992)Journal of Spatial Information Science (2011)Geospatial big data handling theory and methods: A review and research challenges (2015)A Large Scale, App-Based Behaviour Change Experiment Persuading Sustainable Mobility Patterns: Methods, Results and Lessons Learnt (2019)Analytics of location-based big data for smart cities: Opportunities, challenges, and future directions (2021)Trackintel: An open-source Python library for human mobility analysis (2023)Turning telecommunications call details to churn prediction: a data mining approach (2002)Predicting Personality Using Novel Mobile Phone-Based Metrics (2013)Inferring user demographics and social strategies in mobile social networks (2014)A structured literature review on Big Data for customer relationship management (CRM): toward a future agenda in international marketing (2021)Consumer Credit in The Age of AI – Beyond Anti-Discrimination Law (2022)Fairness Without Demographic Data: A Survey of Approaches (2023)Predicting the Present with Google Trends (2012)Dynamic population mapping using mobile phone data (2014)Roles of locational factors in the rise and fall of restaurants: A case study of Beijing with POI data (2021)The impacts of urban vitality and urban density on innovation: Evidence from China's Greater Bay Area (2021)Beyond the First Law of Geography: Learning Representations of Satellite Imagery by Leveraging Point-of-Interests (2022)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Gender identity and lexical variation in social media (2014)Psychological Language on Twitter Predicts County-Level Heart Disease Mortality (2015)Methods to Establish Race or Ethnicity of Twitter Users: Scoping Review (2022)
this work references cited by second hop

References

  • 2013Private traits and attributes are predictable from digital records of human behavior2,827 cited
  • 2015Predicting poverty and wealth from mobile phone metadata700 cited
  • 2018Location based services: ongoing evolution and research agenda317 cited
  • 2019Predicting neighborhoods’ socioeconomic attributes using restaurant data133 cited
  • 2017Big Data67 cited
  • 2019Predicting customer’s gender and age depending on mobile phone data42 cited
  • 2016The International Monetary Fund32 cited
  • 2017Predicting Demographics of High-Resolution Geographies with Geotagged Tweets8 cited

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