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Animating the Crowd Mirage: A WiFi-Positioning-Based Crowd Mobility Digital Twin for Smart Campuses
14 references·0 citing·45 second hop
Animating the Crowd Mirage: A WiFi-Positioning-Based Crowd Mobility Digital Twin for Smart Campuses (2024)Animating the Crowd Mirage: A WiFi-Positi…Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis (2023)Hierarchical Wi-Fi Trajectory…A survey on deep learning for human mobility (2023)A survey on deep learning for…CrowdTelescope: Wi-Fi-positioning-based multi-grained spatiotemporal crowd flow prediction for smart campus (2022)CrowdTelescope: Wi-Fi-positio…User Mobility Synthesis based on Generative Adversarial Networks: A Survey (2020)User Mobility Synthesis based…Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities (2020)Location-Centric Social Media…Learning to Simulate Human Mobility (2020)Learning to Simulate Human Mo…Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Revisiting User Mobility and …Fine-Grained Urban Event Detection and Characterization Based on Tensor Cofactorization (2016)Fine-Grained Urban Event Dete…Dynamic cluster-based over-demand prediction in bike sharing systems (2016)Dynamic cluster-based over-de…Measuring Large-Scale Social Networks with High Resolution (2014)Measuring Large-Scale Social …From big smartphone data to worldwide research: The Mobile Data Challenge (2013)From big smartphone data to w…Friendship and mobility (2011)Friendship and mobilityUnderstanding mobility based on GPS data (2008)Understanding mobility based …The Laws of Migration (1885)The Laws of MigrationThe Strength of Weak Ties (1973)A Global Measure of Perceived Stress (1983)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Ambulatory assessment in psychopathology research: A review of recommended reporting guidelines and current practices. (2019)Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field (2019)The scales of human mobility (2020)Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (2014)Big data analytics and big data science: a survey (2016)The Double-Edged Sword of Big Data in Organizational and Management Research (2017)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Power-law distributions in empirical data (2018)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Next place prediction using mobility Markov chains (2012)Understanding Human Mobility from Twitter (2015)Human mobility: Models and applications (2018)Stochastic Simulation (1987)Infrastructure, programs, and policies to increase bicycling: An international review (2009)Bikesharing in Europe, the Americas, and Asia (2010)A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems (2019)A spatiotemporal and graph-based analysis of dockless bike sharing patterns to understand urban flows over the last mile (2019)Using graph structural information about flows to enhance short-term demand prediction in bike-sharing systems (2020)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Understanding Urban Dynamics From Massive Mobile Traffic Data (2017)A survey of location-based social networks: problems, methods, and future research directions (2021)A New Status Index Derived from Sociometric Analysis (1953)Context-aware Deep Model for Joint Mobility and Time Prediction (2020)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Limits of Predictability in Human Mobility (2010)Activity Trajectory Generation via Modeling Spatiotemporal Dynamics (2022)Future directions in human mobility science (2023)Using human mobility data to quantify experienced urban inequalities (2025)scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data (2022)Human-AI coevolution (2024)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

  • 1885The Laws of Migration3,278 cited
  • 2011Friendship and mobility2,912 cited
  • 2008Understanding mobility based on GPS data1,131 cited
  • 2014Measuring Large-Scale Social Networks with High Resolution409 cited
  • 2019Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach313 cited
  • 2023A survey on deep learning for human mobility282 cited
  • 2016Dynamic cluster-based over-demand prediction in bike sharing systems204 cited
  • 2020Learning to Simulate Human Mobility159 cited
  • 2013From big smartphone data to worldwide research: The Mobile Data Challenge107 cited
  • 2016Fine-Grained Urban Event Detection and Characterization Based on Tensor Cofactorization57 cited
  • 2023Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis34 cited
  • 2020User Mobility Synthesis based on Generative Adversarial Networks: A Survey20 cited
  • 2020Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities20 cited
  • 2022CrowdTelescope: Wi-Fi-positioning-based multi-grained spatiotemporal crowd flow prediction for smart campus17 cited

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