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Estimating local commuting patterns from geolocated Twitter data
11 references·16 citing·45 second hop
Estimating local commuting patterns from geolocated Twitter data (2017)Estimating local commuting patterns from …Predicting human mobility through the assimilation of social media traces into mobility models (2016)Predicting human mobility thr…Who Tweets with Their Location? Understanding the Relationship between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter (2015)Who Tweets with Their Locatio…Social Media Fingerprints of Unemployment (2015)Social Media Fingerprints of …Where in the World Are You? Geolocation and Language Identification in Twitter (2014)Where in the World Are You? G…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Gravity versus radiation models: On the importance of scale and heterogeneity in commuting flows (2013)Gravity versus radiation mode…A Universal Model of Commuting Networks (2012)A Universal Model of Commutin…A universal model for mobility and migration patterns (2012)A universal model for mobilit…A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…Computational Social Science (2009)Computational Social ScienceThe origin of bursts and heavy tails in human dynamics (2005)The origin of bursts and heav…Analyzing changes in travel patterns due to Covid-19 using Twitter data in India (2023)Analyzing changes in travel p…A fusion model of temporal graph attention network and machine learning for inferring commuting flow from human activity intensity dynamics (2023)A fusion model of temporal gr…Socioeconomic biases in urban mixing patterns of US metropolitan areas (2022)Socioeconomic biases in urban…An evaluation of geo-located Twitter data for measuring human migration (2022)An evaluation of geo-located …YouTubing at Home: Media Sharing Behavior Change as Proxy for Mobility Around COVID-19 Lockdowns (2021)YouTubing at Home: Media Shar…Understanding vehicular routing behavior with location-based service data (2021)Understanding vehicular routi…Understanding collective human movement dynamics during large-scale events using big geosocial data analytics (2021)Understanding collective huma…Extracting spatiotemporal commuting patterns from public transit data (2021)Extracting spatiotemporal com…Evaluation and extension of the radiation model for internal migration (2021)Evaluation and extension of t…Estimating commuting matrix and error mitigation – A complementary use of aggregate travel survey, location-based big data and discrete choice models (2021)Estimating commuting matrix a…Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary (2021)Combining Social Media and Mo…Estimating Traffic Disruption Patterns with Volunteered Geographic Information (2020)Estimating Traffic Disruption…Destination choice modeling using location-based social media data (2019)Destination choice modeling u…The WWW (and an H) of Mobile Application Usage in the City (2018)The WWW (and an H) of Mobile …Inferring modes of transportation using mobile phone data (2018)Inferring modes of transporta…Enhancing Trip Distribution Prediction with Twitter Data (2018)Enhancing Trip Distribution P…Economic Action and Social Structure: The Problem of Embeddedness (1985)Economic Action and Social Structure: The Problem of Embeddedness (2002)Understanding individual human mobility patterns (2008)Rapid assessment of disaster damage using social media activity (2016)Quantifying China’s regional economic complexity (2017)Measuring objective and subjective well-being: dimensions and data sources (2020)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)The Single Server Queue (1983)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Robust dynamic classes revealed by measuring the response function of a social system (2008)Power-Law Distributions in Empirical Data (2009)A survey of results on mobile phone datasets analysis (2015)Understanding Human Mobility from Twitter (2015)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Power-law distributions in empirical data (2018)The Age of Migration (1998)Friendship and mobility (2011)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Human mobility: Models and applications (2018)Human behavior and the principle of least effort: An introduction to human ecology. By George Kingsley Zipf. Pp. xi, 573. Cambridge, Mass.: Addison-Wesley Press, 1949. (1950)Universal predictability of mobility patterns in cities (2014)Systematic comparison of trip distribution laws and models (2016)Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns (2019)Entropy in urban and regional modelling (2021)Measuring nominal scale agreement among many raters. (1971)Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)You are where you tweet (2010)Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data (2014)Processing Social Media Messages in Mass Emergency (2015)Socializing in emergencies—A review of the use of social media in emergency situations (2015)Growth, innovation, scaling, and the pace of life in cities (2007)Limits of Predictability in Human Mobility (2010)Regional science and urban economics (1975)Environment and Planning b: Planning and Design (1998)Limits of Predictability in Commuting Flows in the Absence of Data for Calibration (2014)A Machine Learning Approach to Modeling Human Migration (2018)The statistical physics of cities (2019)Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study (2008)A 61-million-person experiment in social influence and political mobilization (2012)Private traits and attributes are predictable from digital records of human behavior (2013)Structural Topic Models for Open‐Ended Survey Responses (2014)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Mapping information exposure on social media to explain differences in HPV vaccine coverage in the United States (2017)Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation (2017)FakeNewsTracker: a tool for fake news collection, detection, and visualization (2018)
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References

  • 2009Computational Social Science3,359 cited
  • 2005The origin of bursts and heavy tails in human dynamics2,260 cited
  • 2012A universal model for mobility and migration patterns1,509 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2014Where in the World Are You? Geolocation and Language Identification in Twitter319 cited
  • 2013Gravity versus radiation models: On the importance of scale and heterogeneity in commuting flows268 cited
  • 2015Who Tweets with Their Location? Understanding the Relationship between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter261 cited
  • 2015Social Media Fingerprints of Unemployment165 cited
  • 2012A Universal Model of Commuting Networks128 cited
  • 2016Predicting human mobility through the assimilation of social media traces into mobility models80 cited

Cited by

  • 2018Inferring modes of transportation using mobile phone data45 cited
  • 2018Enhancing Trip Distribution Prediction with Twitter Data36 cited
  • 2021Combining Social Media and Mobile Positioning Data in the Analysis of Tourist Flows: A Case Study from Szeged, Hungary32 cited

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  • 2021Understanding vehicular routing behavior with location-based service data32 cited
  • 2021Extracting spatiotemporal commuting patterns from public transit data22 cited
  • 2022Socioeconomic biases in urban mixing patterns of US metropolitan areas22 cited
  • 2018The WWW (and an H) of Mobile Application Usage in the City21 cited
  • 2019Destination choice modeling using location-based social media data21 cited
  • 2021Understanding collective human movement dynamics during large-scale events using big geosocial data analytics19 cited
  • 2021Estimating commuting matrix and error mitigation – A complementary use of aggregate travel survey, location-based big data and discrete choice models19 cited
  • 2021Evaluation and extension of the radiation model for internal migration17 cited
  • 2020Estimating Traffic Disruption Patterns with Volunteered Geographic Information13 cited
  • 2022An evaluation of geo-located Twitter data for measuring human migration12 cited
  • 2023A fusion model of temporal graph attention network and machine learning for inferring commuting flow from human activity intensity dynamics12 cited
  • 2023Analyzing changes in travel patterns due to Covid-19 using Twitter data in India12 cited
  • 2021YouTubing at Home: Media Sharing Behavior Change as Proxy for Mobility Around COVID-19 Lockdowns12 cited