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How do measure the triangle of human mobility in urban nightlife?
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How do measure the triangle of human mobility in urban nightlife? (2022)How do measure the triangle of human mobi…Analysis of mobility homophily in Stockholm based on social network data (2021)Analysis of mobility homophil…Twitter reveals human mobility dynamics during the COVID-19 pandemic (2020)Twitter reveals human mobilit…The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets (2020)The Twitter Social Mobility I…Sizing Up Twitter Users (2019)Sizing Up Twitter UsersQuantifying international human mobility patterns using Facebook Network data (2019)Quantifying international hum…Quantifying human mobility resilience to extreme events using geo-located social media data (2019)Quantifying human mobility re…Identifying tourist-functional relations of urban places through Foursquare from Barcelona (2019)Identifying tourist-functiona…City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)City dynamics through Twitter…A data-synthesis-driven method for detecting and extracting vague cognitive regions (2017)A data-synthesis-driven metho…Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago (2016)Explore spatiotemporal and de…Unraveling the origin of exponential law in intra-urban human mobility (2013)Unraveling the origin of expo…Understanding intra-urban trip patterns from taxi trajectory data (2012)Understanding intra-urban tri…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Discovering the urban pattern through human mobility and virtual space (2025)Discovering the urban pattern…Hidden urban patterns: Existential discovery of urban patterns based on traffic and virtual space (2024)Hidden urban patterns: Existe…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)A universal model for mobility and migration patterns (2012)Explaining the power-law distribution of human mobility through transportationmodality decomposition (2015)Tracking Human Mobility Using WiFi Signals (2015)Urban human mobility data mining: An overview (2016)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Friendship and mobility (2011)Tracking job and housing dynamics with smartcard data (2018)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)Urban Mobility and Activity Space (2020)Citizens as sensors: the world of volunteered geography (2007)OpenStreetMap: User-Generated Street Maps (2008)International encyclopedia of the social and behavioral sciences (2015)Uncovering inconspicuous places using social media check-ins and street view images (2020)Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling (2021)Places for play: Understanding human perception of playability in cities using street view images and deep learning (2021)A new insight into land use classification based on aggregated mobile phone data (2014)Social Media and the City: Rethinking Urban Socio-Spatial Inequality Using User-Generated Geographic Information (2015)Modifiable Areal Unit Problem (2017)A New Urban Vitality Analysis and Evaluation Framework Based on Human Activity Modeling Using Multi-Source Big Data (2020)Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods (2020)Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China (2022)Community Resilience as a Metaphor, Theory, Set of Capacities, and Strategy for Disaster Readiness (2007)A place-based model for understanding community resilience to natural disasters (2008)Impact of extreme weather events on urban human flow: A perspective from location-based service data (2020)Quantifying human mobility resilience to the COVID-19 pandemic: A case study of Beijing, China (2022)Zooming into mobility to understand cities: A review of mobility-driven urban studies (2022)4 What Is Web 2.0? Design Patterns and Business Models for the Next Generation of Software (2012)Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes (2021)The impact of the COVID-19 pandemic on people's mobility: A longitudinal study of the U.S. from March to September of 2020 (2021)Uncovering urban human mobility from large scale taxi GPS data (2015)Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic (2020)Identifying influencers on social media (2020)Exploring public sentiment on enforced remote work during COVID-19. (2021)Social Media Polarization and Echo Chambers in the Context of COVID-19: Case Study (2021)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2012Understanding intra-urban trip patterns from taxi trajectory data327 cited
  • 2019Sizing Up Twitter Users254 cited
  • 2020Twitter reveals human mobility dynamics during the COVID-19 pandemic242 cited
  • 2016Explore spatiotemporal and demographic characteristics of human mobility via Twitter: A case study of Chicago225 cited
  • 2013Unraveling the origin of exponential law in intra-urban human mobility165 cited
  • 2017City dynamics through Twitter: Relationships between land use and spatiotemporal demographics117 cited
  • 2017A data-synthesis-driven method for detecting and extracting vague cognitive regions102 cited
  • 2019Quantifying human mobility resilience to extreme events using geo-located social media data100 cited
  • 2019Quantifying international human mobility patterns using Facebook Network data86 cited
  • 2020The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets55 cited
  • 2021Analysis of mobility homophily in Stockholm based on social network data29 cited
  • 2019Identifying tourist-functional relations of urban places through Foursquare from Barcelona17 cited

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Cited by

  • 2024Hidden urban patterns: Existential discovery of urban patterns based on traffic and virtual space4 cited
  • 2025Discovering the urban pattern through human mobility and virtual space4 cited