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Fine-Scale Prediction of People’s Home Location Using Social Media Footprints
4 references·3 citing·36 second hop
Fine-Scale Prediction of People’s Home Location Using Social Media Footprints (2018)Fine-Scale Prediction of People’s Home Lo…Home location inference from sparse and noisy data: models and applications (2016)Home location inference from …Inferring Twitter user locations with 10 km accuracy (2014)Inferring Twitter user locati…Unravelling daily human mobility motifs (2013)Unravelling daily human mobil…Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…Methods for Weighting Decisions to Assist Modelers and Decision Analysts: A Review of Ratio Assignment and Approximate Techniques (2021)Methods for Weighting Decisio…Significance of Linguistic Indicators for Location Prediction (2019)Significance of Linguistic In…Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter (2018)Temporal and spatiotemporal i…Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Human mobility: Models and applications (2018)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Computational Social Science (2009)Smart cities of the future (2012)Find me if you can (2010)You are where you tweet (2010)Finding your friends and following them to where you are (2012)Geotagging one hundred million Twitter accounts with total variation minimization (2014)A survey of location inference techniques on Twitter (2015)A Survey of Location Prediction on Twitter (2018)Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease. (1992)Friendship and mobility (2011)Location, Occupation, and Semantics Based Socioeconomic Status Inference on Twitter (2018)Optimal Proxy Selection for Socioeconomic Status Inference on Twitter (2019)Detecting country of residence from social media data: a comparison of methods (2022)Tourist Satisfaction with Mallorca, Spain, as an Off-Season Holiday Destination (2000)An examination of the effects of motivation and satisfaction on destination loyalty: a structural model (2003)Value dimensions, perceived value, satisfaction and loyalty: an investigation of university students’ travel behaviour (2005)Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea (2020)Conversations and Misconceptions About Chemotherapy in Arabic Tweets: Content Analysis (2020)Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective (2021)Home location profiling for users in social media (2015)Evidential estimation of event locations in microblogs using the Dempster–Shafer theory (2016)Location Inference for Non-Geotagged Tweets in User Timelines (2018)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Dynamic models of segregation† (1971)Optimization by the Analytic Hierarchy Process (1979)Analyzing Healthcare and Wellness Products’ Quality Embedded in Online Customer Reviews: Assessment with a Hybrid Fuzzy LMAW and Fermatean Fuzzy WASPAS Method (2023)A science mapping lens on discrete event simulation applications in construction engineering and management (2024)Adaptive multi-criteria decision making for electric vehicles: a hybrid approach based on RANCOM and ESP-SPOTIS (2024)
this work references cited by second hop

References

  • 2005Reality mining: sensing complex social systems2,790 cited
  • 2013Unravelling daily human mobility motifs593 cited
  • 2014Inferring Twitter user locations with 10 km accuracy86 cited
  • 2016Home location inference from sparse and noisy data: models and applications21 cited

Cited by

  • 2018Temporal and spatiotemporal investigation of tourist attraction visit sentiment on Twitter111 cited
  • 2021Methods for Weighting Decisions to Assist Modelers and Decision Analysts: A Review of Ratio Assignment and Approximate Techniques66 cited
  • 2019Significance of Linguistic Indicators for Location Prediction3 cited

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