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FluMapper: A cyberGIS application for interactive analysis of massive location‐based social media
13 references·16 citing·45 second hop
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References

  • 2009Users of the world, unite! The challenges and opportunities of Social Media17,866 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 2007Citizens as sensors: the world of volunteered geography4,544 cited
  • 1997An overview of data warehousing and OLAP technology2,424 cited
  • 2012The Uncertain Geographic Context Problem1,406 cited
  • 2010Crowdsourcing geographic information for disaster response: a research frontier909 cited
  • 2008The Spatial Turn596 cited
  • 2010The Spatial Humanities: GIS and the Future of Humanities Scholarship353 cited
  • 2000Toward Spatially Integrated Social Science323 cited
  • 1987Experiments In Migration Mapping By Computer253 cited
  • 2013CyberGIS software: a synthetic review and integration roadmap158 cited
  • 2010The Spatial Humanities127 cited
  • 2013Visualization of social media: seeing a mirage or a message?62 cited

Cited by

  • 2016Advances in spatial epidemiology and geographic information systems312 cited
  • 2016Twitter Analysis: Studying US Weekly Trends in Work Stress and Emotion120 cited

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2020
Understanding the removal of precise geotagging in tweets
57 cited
  • 2018CyberGIS‐Jupyter for reproducible and scalable geospatial analytics52 cited
  • 2017A CyberGIS-Jupyter Framework for Geospatial Analytics at Scale38 cited
  • 2016A survey on location estimation techniques for events detected in Twitter33 cited
  • 2021Changes in Twitter geolocations: Insights and suggestions for future usage33 cited
  • 2016Evidential estimation of event locations in microblogs using the Dempster–Shafer theory29 cited
  • 2015Open cyberGIS software for geospatial research and education in the big data era25 cited
  • 2016Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach25 cited
  • 2015CyberGIS for data-intensive knowledge discovery18 cited
  • 2021Constructing and analyzing spatial-social networks from location-based social media data13 cited
  • 2023Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter11 cited
  • 2015Where Chicagoans tweet the most10 cited
  • 2020Analyzing Asymmetric City Connectivity by Toponym on Social Media in China8 cited
  • 2016UrbanFlow6 cited