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Using Digital Trace Data to Identify Regions and Cities
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Using Digital Trace Data to Identify Regions and Cities (2019)Using Digital Trace Data to Identify Regi…The human geography of Twitter: Quantifying regional identity and inter-region communication in England and Wales (2019)The human geography of Twitte…Scaling laws in geo-located Twitter data (2019)Scaling laws in geo-located T…Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Urban mobility and neighborho…Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data (2017)Depicting urban boundaries fr…PlanetSense (2015)PlanetSenseA survey of results on mobile phone datasets analysis (2015)A survey of results on mobile…Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries (2013)Delineating Geographical Regi…Redrawing the Map of Great Britain from a Network of Human Interactions (2010)Redrawing the Map of Great Br…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Computational Social Science (2009)An Analysis of Visitors' Behavior in the Louvre Museum: A Study Using Bluetooth Data (2014)An Economic Geography of the United States: From Commutes to Megaregions (2016)Inequality is rising where social network segregation interacts with urban topology (2021)The Strength of Weak Ties (1973)Power-Law Distributions in Empirical Data (2009)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Power-law distributions in empirical data (2018)The universal visitation law of human mobility (2021)The Spatial Economy: Cities, Regions, and International Trade (2000)Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data (2014)Revealing travel patterns and city structure with taxi trip data (2015)Citizens as sensors: the world of volunteered geography (2007)Harvesting ambient geospatial information from social media feeds (2011)Geosocial gauge: a system prototype for knowledge discovery from social media (2013)Developing a streaming data processing workflow for querying space–time activities from geotagged tweets (2015)Mapping near-real-time power outages from social media (2018)SONET (2019)The scaling laws of human travel (2006)Modifiable Areal Unit Problem (2017)Accessibility based on Gravity-Radiation model and Google Maps API: A case study in Australia (2018)Social media and urban mobility: Using twitter to calculate home-work travel matrices (2019)Growth, innovation, scaling, and the pace of life in cities (2007)The Origins of Scaling in Cities (2013)Human mobility: Models and applications (2018)The effect of intra-urban mobility flows on the spatial heterogeneity of social media activity: investigating the response to rainfall events (2021)Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources (2022)The Truly Disadvantaged. The Inner City, the Underclass, and Public Policy. By William Julius Wilson. Chicago: University of Chicago Press, 1987. 254p. $19.95. (1988)Assessing “Neighborhood Effects”: Social Processes and New Directions in Research (2002)Neighbourhood effects and beyond: Explaining the paradoxes of inequality in the changing American metropolis (2018)The Neighborhood Effect Averaging Problem (NEAP): An Elusive Confounder of the Neighborhood Effect (2018)Social capital II: determinants of economic connectedness (2022)Region and place: regional identity in question (2003)Find me if you can (2010)Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Digital Public Sphere and Geography: The Influence of Physical Location on Twitter’s Political Conversation (2020)Left out and invisible? : exploring social media representation of ‘left behind places’ (2024)Mapping Great Britain's semantic footprints through a large language model analysis of Reddit comments (2024)
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References

  • 2015A survey of results on mobile phone datasets analysis652 cited
  • 2010Redrawing the Map of Great Britain from a Network of Human Interactions424 cited
  • 2018Urban mobility and neighborhood isolation in America’s 50 largest cities404 cited
  • 2013Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries151 cited
  • 2017Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data113 cited
  • 2015PlanetSense38 cited
  • 2019Scaling laws in geo-located Twitter data27 cited
  • 2019The human geography of Twitter: Quantifying regional identity and inter-region communication in England and Wales19 cited

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