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Modelling human mobility patterns using photographic data shared online
15 references·11 citing·38 second hop
Modelling human mobility patterns using photographic data shared online (2015)Modelling human mobility patterns using p…Urban magnetism through the lens of geo-tagged photography (2015)Urban magnetism through the l…Quantifying International Travel Flows Using Flickr (2015)Quantifying International Tra…Quantifying crowd size with mobile phone and Twitter data (2015)Quantifying crowd size with m…Using big data to predict collective behavior in the real world (2014)Using big data to predict col…Reputation and impact in academic careers (2014)Reputation and impact in acad…Quantifying the semantics of search behavior before stock market moves (2014)Quantifying the semantics of …Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Quantifying Wikipedia Usage Patterns Before Stock Market Moves (2013)Quantifying Wikipedia Usage P…Quantifying the Digital Traces of Hurricane Sandy on Flickr (2013)Quantifying the Digital Trace…Interdependence and predictability of human mobility and social interactions (2013)Interdependence and predictab…AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data (2013)AllAboard: A System for Explo…Computational Social Science (2009)Computational Social ScienceUnderstanding individual human mobility patterns (2008)Understanding individual huma…Laws of population growth (2008)Laws of population growthThe scaling laws of human travel (2006)The scaling laws of human tra…Urban mobility and resilience: exploring Boston’s urban mobility network through twitter data (2020)Urban mobility and resilience…Research progress on the space of flow using big data (2020)Research progress on the spac…In search of art: rapid estimates of gallery and museum visits using Google Trends (2020)In search of art: rapid estim…Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction (2020)Implementation of Deep Learni…Discovering Tourist Attractions of Cities Using Flickr and OpenStreetMap Data (2019)Discovering Tourist Attractio…Using social media to quantify spatial and temporal dynamics of nature-based recreational activities (2018)Using social media to quantif…Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter (2018)Temporal and spatiotemporal i…RiSC: Quantifying change after natural disasters to estimate infrastructure damage with mobile phone data (2018)RiSC: Quantifying change afte…Cross-Urban Point-of-Interest Recommendation for Non-Natives (2018)Cross-Urban Point-of-Interest…Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review (2018)Challenges and Potential Oppo…Tracking Protests Using Geotagged Flickr Photographs (2016)Tracking Protests Using Geota…Limits of Predictability in Human Mobility (2010)The dynamics of information-driven coordination phenomena: A transfer entropy analysis (2016)Early detection of promoted campaigns on 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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2009Computational Social Science3,359 cited
  • 2006The scaling laws of human travel2,207 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2008Laws of population growth427 cited
  • 2013Quantifying Wikipedia Usage Patterns Before Stock Market Moves318 cited
  • 2014Reputation and impact in academic careers310 cited
  • 2014Quantifying the semantics of search behavior before stock market moves174 cited
  • 2013Interdependence and predictability of human mobility and social interactions150 cited
  • 2015Quantifying crowd size with mobile phone and Twitter data129 cited
  • 2013AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data123 cited
  • 2015Urban magnetism through the lens of geo-tagged photography108 cited
  • 2013Quantifying the Digital Traces of Hurricane Sandy on Flickr99 cited
  • 2014Using big data to predict collective behavior in the real world72 cited
  • 2015Quantifying International Travel Flows Using Flickr53 cited

Cited by

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  • 2018Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter111 cited
  • 2018Using social media to quantify spatial and temporal dynamics of nature-based recreational activities98 cited
  • 2018Challenges and Potential Opportunities of Mobile Phone Call Detail Records in Health Research: Review35 cited
  • 2020Urban mobility and resilience: exploring Boston’s urban mobility network through twitter data28 cited
  • 2016Tracking Protests Using Geotagged Flickr Photographs23 cited
  • 2020Implementation of Deep Learning Predictor (LSTM) Algorithm for Human Mobility Prediction17 cited
  • 2018RiSC: Quantifying change after natural disasters to estimate infrastructure damage with mobile phone data15 cited
  • 2020Research progress on the space of flow using big data15 cited
  • 2020In search of art: rapid estimates of gallery and museum visits using Google Trends11 cited
  • 2018Cross-Urban Point-of-Interest Recommendation for Non-Natives7 cited
  • 2019Discovering Tourist Attractions of Cities Using Flickr and OpenStreetMap Data5 cited