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Automatic detection of user trajectories from social media posts

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References

2015Extracting and understanding urban areas of interest using geotagged photos310 cited
2012Mining Travel Patterns from Geotagged Photos229 cited
2011Extracting urban patterns from location-based social networks147 cited
2013Exploration of geo-tagged photos through data mining approaches78 cited
2010A Novel Approach to Mining Travel Sequences Using Collections of Geotagged Photos37 cited
2017SMA4TD: A social media analysis methodology for trajectory discovery in large-scale events27 cited
2016Analyzing social media data to discover mobility patterns at EXPO 2015: Methodology and results21 cited
2015Following soccer fans from geotagged tweets at FIFA World Cup 201421 cited
2017A Geo-Clustering Approach for the Detection of Areas-of-Interest and Their Underlying Semantics18 cited

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2023Using social media user profiles to identify visitor demographics and origins in Yellowstone national park10 cited
2024Risk identification of public opinion on social media: a new approach based on cross-spatial network analysis7 cited
2024Georeferenced X (formerly twitter) data as a proxy of mobility behaviour: case study of Norway4 cited
2024The Impact of Scale on Extracting Individual Mobility Patterns from Location-Based Social Media4 cited

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