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Predicting socio-economic levels of urban regions via offline and online indicators
16 references·2 citing·43 second hop
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References

  • 2005The Impact of Social Structure on Economic Outcomes2,752 cited
  • 2012Predicting the Present with Google Trends2,353 cited
  • 2014Big Data: New Tricks for Econometrics1,574 cited
  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2010Network Diversity and Economic Development772 cited
  • 2015Predicting poverty and wealth from mobile phone metadata700 cited
  • 2014Economics in the age of big data528 cited
  • 2013Urban characteristics attributable to density-driven tie formation218 cited
  • 2016An analytical framework to nowcast well-being using mobile phone data140 cited
  • 2015Using big data to study the link between human mobility and socio-economic development116 cited
  • 2011Prediction of Socioeconomic Levels Using Cell Phone Records108 cited
  • 2011Prediction of socioeconomic levels using cell phone records89 cited
  • 2014Poverty on the cheap82 cited
  • 2013Evaluating socio-economic state of a country analyzing airtime credit and mobile phone datasets32 cited
  • 2010Human Mobility in Advanced and Developing Economies: A Comparative Analysis25 cited

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2016
Topic Models to Infer Socio-Economic Maps
20 cited

Cited by

  • 2025Socioeconomic and functional zoning characterization in a city: a clustering approach13 cited
  • 2022Measuring the local complementarity of population, amenities and digital activities to identify and understand urban areas of interest8 cited