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Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility
16 references·4 citing·52 second hopsampled
Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility (2022)Assessing Reliability of Chinese Geotagge…Analyzing Urban Spatial Patterns and Functional Zones Using Sina Weibo POI Data: A Case Study of Beijing (2021)Analyzing Urban Spatial Patte…Urban function recognition by integrating social media and street-level imagery (2020)Urban function recognition by…Impact of extreme weather events on urban human flow: A perspective from location-based service data (2020)Impact of extreme weather eve…Examining the population flow network in China and its implications for epidemic control based on Baidu migration data (2020)Examining the population flow…Quantifying international human mobility patterns using Facebook Network data (2019)Quantifying international hum…Passive crowdsourcing of social media in environmental research: A systematic map (2019)Passive crowdsourcing of soci…Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data (2018)Understanding the Impacts of …Mining location from social media: A systematic review (2018)Mining location from social m…Analyzing urban development patterns based on the flow analysis method (2018)Analyzing urban development p…Universal model of individual and population mobility on diverse spatial scales (2017)Universal model of individual…Central flow theory: comparative connectivities in the world-city network (2017)Central flow theory: comparat…Urban human mobility data mining: An overview (2016)Urban human mobility data min…Delineation of an urban agglomeration boundary based on Sina Weibo microblog ‘check-in’ data: A case study of the Yangtze River Delta (2016)Delineation of an urban agglo…Understanding Human Mobility from Twitter (2015)Understanding Human Mobility …Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data (2015)Modeling and Visualizing Regu…Correction: A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)Correction: A Tale of Many Ci…Delineating urban agglomeration regions in China by network community scanning: Structures and policy implications (2025)Delineating urban agglomerati…Mining public behavior patterns from social media data during emergencies: A multidimensional analytical framework considering spatial–temporal–semantic features (2024)Mining public behavior patter…Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data (2024)Measuring Chinese mobility be…Leveraging Social Media Geographic Information for Smart Governance and Policy Making (2023)Leveraging Social Media Geogr…Power laws, Pareto distributions and Zipf's law (2005)Understanding individual human mobility patterns (2008)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Power-law distributions in empirical data (2018)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Social physics (2022)The scaling laws of human travel (2006)Growth, innovation, scaling, and the pace of life in cities (2007)Quantifying human mobility resilience to extreme events using geo-located social media data (2019)The statistical physics of cities (2019)Telecommuting and other trips: an English case study (2020)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)The Modifiable Areal Unit Problem in Multivariate Statistical Analysis (1991)Open data for informal settlements: Toward a user׳s guide for urban managers and planners (2015)A graph-based approach to detecting tourist movement patterns using social media data (2018)The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets (2020)The informational city: Information technology, economic restructuring, and the urban-regional process (1989)Qualitative Research Design: An Interactive Approach (1996)Big data: a revolution that will transform how we live, work, and think (2013)Spatial patterns and determinant factors of population flow networks in China: Analysis on Tencent Location Big Data (2020)The spatial integration and coordinated industrial development of urban agglomerations in the Yangtze River Economic Belt, China (2020)Empirical investigation of urban land use efficiency and influencing factors of the Yellow River basin Chinese cities (2022)The Laws of Migration (1885)Limits of Predictability in Human Mobility (2010)Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications (2019)scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)COVID-19 is linked to changes in the time–space dimension of human mobility (2023)The Economy of Cities (1969)The Global City (1991)The Rise of the Network Society (2009)Measuring megaregional structure in the Pearl River Delta by mobile phone signaling data: A complex network approach (2020)Three Globalizations Shaping the Twenty-first Century: Understanding the New World Geography through Its Cities (2020)Understanding the structure and determinants of city network through intra-firm service relationships: The case of Guangdong-Hong Kong-Macao Greater Bay Area (2020)Friendship and mobility (2011)A universal distribution law of network detour ratios (2018)Modeling real-time human mobility based on mobile phone and transportation data fusion (2018)Urban Human Mobility (2019)The Proof and Measurement of Association between Two Things (1904)Measuring temporal variation of location-based accessibility using space-time utility perspective (2018)Aspirations and realities of polycentric development: Insights from multi-source data into the emerging urban form of Shanghai (2019)Understanding travel time uncertainty impacts on the equity of individual accessibility (2019)Scoping studies: towards a methodological framework (2005)Social Media in Tourism and Hospitality: A Literature Review (2013)Harnessing the power of machine learning: Can Twitter data be useful in guiding resource allocation decisions during a natural disaster? (2019)Using geotagged tweets to track population movements to and from Puerto Rico after Hurricane Maria (2020)Understanding the Relationship between Urban Public Space and Social Cohesion: A Systematic Review (2024)A Coefficient of Agreement for Nominal Scales (1960)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Uses and Limitations of Social Media to Inform Visitor Use Management in Parks and Protected Areas: A Systematic Review (2020)Using social media to assess nature-based tourism: Current research and future trends (2020)Using social media to estimate visitor provenance and patterns of recreation in Germany's national parks (2020)
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References

  • 2015Understanding Human Mobility from Twitter558 cited
  • 2019Passive crowdsourcing of social media in environmental research: A systematic map365 cited
  • 2017Universal model of individual and population mobility on diverse spatial scales250 cited
  • 2016Delineation of an urban agglomeration boundary based on Sina Weibo microblog ‘check-in’ data: A case study of the Yangtze River Delta155 cited
  • 2017Central flow theory: comparative connectivities in the world-city network144 cited
  • 2016Urban human mobility data mining: An overview132 cited
  • 2012Correction: A Tale of Many Cities: Universal Patterns in Human Urban Mobility111 cited
  • 2018Mining location from social media: A systematic review102 cited
  • 2015Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data97 cited
  • 2018Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data90 cited
  • 2019Quantifying international human mobility patterns using Facebook Network data86 cited
  • 2020Urban function recognition by integrating social media and street-level imagery84 cited
  • 2020Impact of extreme weather events on urban human flow: A perspective from location-based service data83 cited
  • 2018Analyzing urban development patterns based on the flow analysis method

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76 cited
  • 2021Analyzing Urban Spatial Patterns and Functional Zones Using Sina Weibo POI Data: A Case Study of Beijing75 cited
  • 2020Examining the population flow network in China and its implications for epidemic control based on Baidu migration data73 cited
  • Cited by

    • 2025Delineating urban agglomeration regions in China by network community scanning: Structures and policy implications12 cited
    • 2024Measuring Chinese mobility behaviour during COVID-19 using geotagged social media data9 cited
    • 2024Mining public behavior patterns from social media data during emergencies: A multidimensional analytical framework considering spatial–temporal–semantic features8 cited
    • 2023Leveraging Social Media Geographic Information for Smart Governance and Policy Making6 cited