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Scaling laws in geo-located Twitter data
16 references·6 citing·43 second hop
Scaling laws in geo-located Twitter data (2019)Scaling laws in geo-located Twitter dataUnderstanding the Demographics of Twitter Users (2021)Understanding the Demographic…Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose (2021)Is the Sample Good Enough? Co…Human mobility: Models and applications (2018)Human mobility: Models and ap…Rapid assessment of disaster damage using social media activity (2016)Rapid assessment of disaster …Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …Constructing cities, deconstructing scaling laws (2014)Constructing cities, deconstr…Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls (2014)Big Questions for Social Medi…A Tale of Cities: Urban Biases in Volunteered Geographic Information (2014)A Tale of Cities: Urban Biase…Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013)Understanding urban human act…The Origins of Scaling in Cities (2013)The Origins of Scaling in Cit…The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place (2013)The Geography of Happiness: C…Mapping the global Twitter heartbeat: The geography of Twitter (2013)Mapping the global Twitter he…Spatiotemporal Patterns of Urban Human Mobility (2012)Spatiotemporal Patterns of Ur…Automatic Crime Prediction Using Events Extracted from Twitter Posts (2012)Automatic Crime Prediction Us…A unified theory of urban living (2010)A unified theory of urban liv…Growth, innovation, scaling, and the pace of life in cities (2007)Growth, innovation, scaling, …Rapid natural hazard extent estimation from twitter data: investigation for hurricane impact areas (2024)Rapid natural hazard extent e…Left out and invisible? : exploring social media representation of ‘left behind places’ (2024)Left out and invisible? : exp…Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources (2022)Efficient and Reliable Geocod…The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events (2021)The effect of intra-urban mob…Using Digital Trace Data to Identify Regions and Cities (2019)Using Digital Trace Data to I…The human geography of Twitter: Quantifying regional identity and inter-region communication in England and Wales (2019)The human geography of Twitte…Empirical study of topic modeling in Twitter (2010)Twitter use in election campaigns: A systematic literature review (2015)Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)A Survey on Bias and Fairness in Machine Learning (2021)Location and Land Use: Toward a General Theory of Land Rent (1964)The Spatial Economy (1999)The Spatial Economy: Cities, Regions, and International Trade (2000)Geographic information systems and science (2005)Geographic information systems and science (2011)Social physics (2022)The Age of Migration (1998)Understanding individual human mobility patterns (2008)Friendship and mobility (2011)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Understanding Human Mobility from Twitter (2015)The Death and Life of Great American Cities (1962)Critical Truths About Power Laws (2012)Planning the resilient city: Concepts and strategies for coping with climate change and environmental risk (2012)The Death and Life of Great American Cities (2015)Model systems in developmental biology (1995)Computational Social Science (2009)CRITICAL QUESTIONS FOR BIG DATA (2012)Algorithms at Work: The New Contested Terrain of Control (2019)Fake news on Twitter during the 2016 U.S. presidential election (2019)Human behavior and the principle of least effort (1949)Natural language processing in mental health applications using non-clinical texts (2017)Measuring objective and subjective well-being: dimensions and data sources (2020)On the Division of Labor in Society (1935)Increasing Returns and Long-Run Growth (1986)On the mechanics of economic development (1988)A universal model for mobility and migration patterns (2012)Twitter mood predicts the stock market (2011)A Three‐Stage Adoption Process for Social Media Use in Government (2013)Psychological Language on Twitter Predicts County-Level Heart Disease Mortality (2015)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)The Economy of Cities (1969)Social media analytics for natural disaster management (2017)Applications of artificial intelligence for disaster management (2020)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)The scales of human mobility (2020)The universal visitation law of human mobility (2021)A survey on deep learning for human mobility (2023)
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  • 2007Growth, innovation, scaling, and the pace of life in cities2,698 cited
  • 2013The Origins of Scaling in Cities1,496 cited
  • 2018Human mobility: Models and applications1,032 cited
  • 2010A unified theory of urban living1,010 cited
  • 2021Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose808 cited
  • 2014Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls775 cited
  • 2021Understanding the Demographics of Twitter Users760 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2016Rapid assessment of disaster damage using social media activity642 cited
  • 2013The Geography of Happiness: Connecting Twitter Sentiment and Expression, Demographics, and Objective Characteristics of Place515 cited
  • 2014Constructing cities, deconstructing scaling laws431 cited
  • 2013Mapping the global Twitter heartbeat: The geography of Twitter379 cited
  • 2012Automatic Crime Prediction Using Events Extracted from Twitter Posts344 cited
  • 2013Understanding urban human activity and mobility patterns using large-scale location-based data from online social media315 cited
  • 2012Spatiotemporal Patterns of Urban Human Mobility

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282 cited
  • 2014A Tale of Cities: Urban Biases in Volunteered Geographic Information215 cited
  • Cited by

    • 2019The human geography of Twitter: Quantifying regional identity and inter-region communication in England and Wales19 cited
    • 2021The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events14 cited
    • 2022Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources14 cited
    • 2024Left out and invisible? : exploring social media representation of ‘left behind places’11 cited
    • 2024Rapid natural hazard extent estimation from twitter data: investigation for hurricane impact areas10 cited
    • 2019Using Digital Trace Data to Identify Regions and Cities5 cited