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Migrant mobility flows characterized with digital data
16 references·8 citing·41 second hop
Migrant mobility flows characterized with digital data (2020)Migrant mobility flows characterized with…Understanding the Demographics of Twitter Users (2021)Understanding the Demographic…Promises and Pitfalls of Using Digital Traces for Demographic Research (2018)Promises and Pitfalls of Usin…Human mobility: Models and applications (2018)Human mobility: Models and ap…A stochastic model of randomly accelerated walkers for human mobility (2016)A stochastic model of randoml…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…Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement (2015)Geo-Located Tweets. Enhancing…Quantifying Global International Migration Flows (2014)Quantifying Global Internatio…Inferring international and internal migration patterns from Twitter data (2014)Inferring international and i…Geo-located Twitter as proxy for global mobility patterns (2014)Geo-located Twitter as proxy …From mobile phone data to the spatial structure of cities (2014)From mobile phone data to the…Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data (2014)Exploring Universal Patterns …Cross-Checking Different Sources of Mobility Information (2014)Cross-Checking Different Sour…Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Understanding individual mobi…Intra-urban human mobility patterns: An urban morphology perspective (2011)Intra-urban human mobility pa…Understanding individual human mobility patterns (2008)Understanding individual huma…The Laws of Migration (1885)The Laws of MigrationThe voices of the displaced: Mobility and Twitter conversations of migrants of Ukraine in 2022 (2024)The voices of the displaced: …The Venezuelan Humanitarian Crisis, Out-Migration, and Household Change Among Venezuelans in Venezuela and Abroad (2024)The Venezuelan Humanitarian C…Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union (2024)Integrating Traditional and S…Can Social Media Data Help to Understand the Socio-spatial Heterogeneity of the Interests and Concerns of Urban Citizens? A Twitter Data Assessment for Mexico City (2024)Can Social Media Data Help to…Operationalizing digital self-determination (2023)Operationalizing digital self…The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union (2022)The potential of Facebook adv…Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies (2022)Co-designing algorithms for g…Digital Footprints of International Migration on Twitter (2020)Digital Footprints of Interna…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)The age of migration: international population movements in the modern world (1994)Gravity Models of Spatial Interaction Behavior (1995)The Age of Migration (1998)Comparing super-diversity (2014)Internal Migration and Development: Comparing Migration Intensities Around the World (2015)Climate Change, Natural Disasters, and Migration—a Survey of the Empirical Evidence (2017)Limits of Predictability in Human Mobility (2010)Uncovering the spatial structure of mobility networks (2015)African Mining, Gender, and Local Employment (2016)Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China (2018)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)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Development of origin–destination matrices using mobile phone call data (2014)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)The universal visitation law of human mobility (2021)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Urban Spatial Structure (2010)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Where in the World Are You? Geolocation and Language Identification in Twitter (2014)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)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)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)The scales of human mobility (2020)A survey on deep learning for human mobility (2023)Methodological nationalism and beyond: nation–state building, migration and the social sciences (2002)Methodological Nationalism, the Social Sciences, and the Study of Migration: An Essay in Historical Epistemology (2003)Migration and Development: A Theoretical Perspective (2010)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 1885The Laws of Migration3,278 cited
  • 2018Human mobility: Models and applications1,032 cited
  • 2021Understanding the Demographics of Twitter Users760 cited
  • 2014Geo-located Twitter as proxy for global mobility patterns675 cited
  • 2012Understanding individual mobility patterns from urban sensing data: A mobile phone trace example645 cited
  • 2014Quantifying Global International Migration Flows565 cited
  • 2014From mobile phone data to the spatial structure of cities458 cited
  • 2014Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data329 cited
  • 2015Who Tweets with Their Location? Understanding the Relationship between Demographic Characteristics and the Use of Geoservices and Geotagging on Twitter261 cited
  • 2011Intra-urban human mobility patterns: An urban morphology perspective239 cited
  • 2014Inferring international and internal migration patterns from Twitter data224 cited
  • 2014Cross-Checking Different Sources of Mobility Information147 cited
  • 2018Promises and Pitfalls of Using Digital Traces for Demographic Research137 cited
  • 2016A stochastic model of randomly accelerated walkers for human mobility

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114 cited
  • 2015Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border Movement102 cited
  • Cited by

    • 2022Co-designing algorithms for governance: Ensuring responsible and accountable algorithmic management of refugee camp supplies29 cited
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    • 2024The voices of the displaced: Mobility and Twitter conversations of migrants of Ukraine in 202220 cited
    • 2022The potential of Facebook advertising data for understanding flows of people from Ukraine to the European Union17 cited
    • 2020Digital Footprints of International Migration on Twitter16 cited
    • 2024Integrating Traditional and Social Media Data to Predict Bilateral Migrant Stocks in the European Union11 cited
    • 2024Can Social Media Data Help to Understand the Socio-spatial Heterogeneity of the Interests and Concerns of Urban Citizens? A Twitter Data Assessment for Mexico City7 cited