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Multi-scale cross-city community detection of urban agglomeration using signaling big data
8 references·5 citing·47 second hop
Multi-scale cross-city community detection of urban agglomeration using signaling big data (2023)Multi-scale cross-city community detectio…How to determine city hierarchies and spatial structure of a megaregion? (2023)How to determine city hierarc…Re-examining urban region and inferring regional function based on spatial–temporal interaction (2018)Re-examining urban region and…Comparing Community Detection Algorithms in Transport Networks via Points of Interest (2018)Comparing Community Detection…Urban agglomeration: An evolving concept of an emerging phenomenon (2017)Urban agglomeration: An evolv…Portraying Temporal Dynamics of Urban Spatial Divisions with Mobile Phone Positioning Data: A Complex Network Approach (2016)Portraying Temporal Dynamics …Uncovering urban human mobility from large scale taxi GPS data (2015)Uncovering urban human mobili…Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong (2014)Towards a Comparative Science…Spectral clustering for sensing urban land use using Twitter activity (2014)Spectral clustering for sensi…Quantifying Administrative and Functional Border Effects on Commuting and Non-Commuting Flows: A Case Study of the Shanghai-Suzhou-Jiaxing Area (2025)Quantifying Administrative an…Delineating urban agglomeration regions in China by network community scanning: Structures and policy implications (2025)Delineating urban agglomerati…Revealing multi-scale spatial synergy of mega-city region from a human mobility perspective (2024)Revealing multi-scale spatial…Inferring the Accurate Locations of Noise Records in Mobile Phone Location Data (2024)Inferring the Accurate Locati…A time-series-based model to detect homogeneous regions of residents’ dynamic living habits (2024)A time-series-based model to …Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Comparing and modelling land use organization in cities (2015)A Tale of Ten Cities: Characterizing Signatures of Mobile Traffic in Urban Areas (2016)The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective (2016)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)City dynamics through Twitter: Relationships between land use and spatiotemporal demographics (2017)Computational socioeconomics (2019)Delineating urban functional use from points of interest data with neural network embedding: A case study in Greater London (2021)Urban Spatial Structure (2010)Uncovering Spatial Structures of Regional City Networks from Expressway Traffic Flow Data: A Case Study from Jiangsu Province, China (2017)Challenges and Prospects of Uncertainties in Spatial Big Data Analytics (2018)Dynamic community detection considering daily rhythms of human mobility (2022)Innovation Diffusion As a Spatial Process (1967)Urban and Regional Planning: A Systems Approach (1970)Garden Cities Of To-Morrow (2003)Progress of China's new-type urbanization construction since 2014: A preliminary assessment (2018)Land use efficiency and influencing factors of urban agglomerations in China (2019)The effect of urbanization on environmental pollution in rapidly developing urban agglomerations (2019)The Geography of Transport Systems (2020)Impact of the mixed degree of urban functions on the taxi travel demand (2021)Delineating borders of urban activity zones with free-floating bike sharing spatial interaction network (2022)Semantic-Enhanced Graph Convolutional Neural Networks for Multi-Scale Urban Functional-Feature Identification Based on Human Mobility (2024)A universal model for mobility and migration patterns (2012)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)The temporal geographically-explicit network of public transport in Changchun City, Northeast China (2019)A Spatio-Temporal Co-Clustering Framework for Discovering Mobility Patterns: A Study of Manhattan Taxi Data (2021)Exploring dynamic urban mobility patterns from traffic flow data using community detection (2024)The informational city: Information technology, economic restructuring, and the urban-regional process (1989)Specification of the World City Network (2001)An index to quantify an individual's scientific research output (2005)A new flow-based centrality method for identifying statistically significant centers (2023)Quantifying centrality using a novel flow-based measure: Implications for sustainable urban development (2024)Rise of the Network Society: The Information Age: Economy, Society and Culture (1996)Revealing travel patterns and city structure with taxi trip data (2015)How spatial scales enhance prediction: an interpretable multi-scale framework for bike-sharing demand prediction (2025)Uncovering horizontal and vertical inequities of individual accessibility using mobile phone data (2025)Human behavior and the principle of least effort. (1949)Studies in the Structure of the Urban Economy. (1973)Unveiling pattern and structure of inter-urban mobility: Integrating flow space and geospatial information (2026)The scaling laws of human travel (2006)Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective (2018)Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China (2018)Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China (2020)
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References

  • 2017Urban agglomeration: An evolving concept of an emerging phenomenon1,015 cited
  • 2015Uncovering urban human mobility from large scale taxi GPS data280 cited
  • 2014Spectral clustering for sensing urban land use using Twitter activity205 cited
  • 2014Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong100 cited
  • 2018Re-examining urban region and inferring regional function based on spatial–temporal interaction39 cited
  • 2018Comparing Community Detection Algorithms in Transport Networks via Points of Interest37 cited
  • 2016Portraying Temporal Dynamics of Urban Spatial Divisions with Mobile Phone Positioning Data: A Complex Network Approach36 cited
  • 2023How to determine city hierarchies and spatial structure of a megaregion?24 cited

Cited by

  • 2024Revealing multi-scale spatial synergy of mega-city region from a human mobility perspective13 cited
  • 2025Delineating urban agglomeration regions in China by network community scanning: Structures and policy implications12 cited
  • 2024A time-series-based model to detect homogeneous regions of residents’ dynamic living habits4 cited
  • 2025Quantifying Administrative and Functional Border Effects on Commuting and Non-Commuting Flows: A Case Study of the Shanghai-Suzhou-Jiaxing Area3 cited
  • 2024Inferring the Accurate Locations of Noise Records in Mobile Phone Location Data

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3 cited