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Inferring the Location of Twitter Messages Based on User Relationships
5 references·16 citing·47 second hop
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this work references cited by second hop

References

  • 2010Find me if you can705 cited
  • 2010Inferring social ties from geographic coincidences473 cited
  • 2008The wikification of GIS and its consequences: Or Angelina Jolie’s new tattoo and the future of GIS282 cited
  • 2007From Text to Geographic Coordinates: The Current State of Geocoding205 cited
  • 2008Introduction to digital gazetteer research155 cited

Cited by

  • 2021A Multi-Indicator Approach for Geolocalization of Tweets158 cited
  • 2014Towards a Big Data Analytics Framework for IoT and Smart City Applications157 cited
  • 2013Location prediction in social media based on tie strength156 cited
  • 2013L ocation B ased S ocial N etworks – Definition, Current State of the Art and Research Agenda92 cited
  • 2012We know where you live90 cited
  • 2017Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction77 cited
  • 2014Enhancing transport data collection through social media sources: methods, challenges and opportunities for textual data77 cited
  • 2014SPOT65 cited
  • 2016User Contribution Patterns and Completeness Evaluation of Mapillary, a Crowdsourced Street Level Photo Service62 cited
  • 2018Using sentiment analysis to define twitter political users’ classes and their homophily during the 2016 American presidential election

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62 cited
  • 2012Traffic observatory52 cited
  • 2016Spatialities of data: mapping social media ‘beyond the geotag’45 cited
  • 2018Twitter Geolocation43 cited
  • 2019Twitter user geolocation using web country noun searches43 cited
  • 2021Identifying home locations in human mobility data: an open-source R package for comparison and reproducibility41 cited
  • 2014International Gender Differences and Gaps in Online Social Networks41 cited