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Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events
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The dynamics of a mobile phone network
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Zipf’s law for cities: an empirical examination
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Chapter 56 Sprawl and urban growth
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Modelling disease outbreaks in realistic urban social networks
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Understanding individual human mobility patterns
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Erratum: Global distribution and conservation of rare and threatened vertebrates
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Understanding individual human mobility patterns
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Modelling the scaling properties of human mobility
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Structure and tie strengths in mobile communication networks
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Scaling Behaviors in the Communication Network between Cities
inferredcites →https://doi.org/10.1109/cse.2009.91openalex-snapshot
Community Computing: Comparisons between Rural and Urban Societies Using Mobile Phone Data
inferredcites →https://doi.org/10.1109/icdm.2010.152openalex-snapshot
Recommending Social Events from Mobile Phone Location Data
inferredcites →https://doi.org/10.1109/itsc.2010.5625119openalex-snapshot
Human mobility prediction based on individual and collective geographical preferences
inferredcites →https://doi.org/10.1109/passat/socialcom.2011.11openalex-snapshot
Out of Sight Out of Mind--How Our Mobile Social Network Changes during Migration
inferredcites →https://doi.org/10.1109/passat/socialcom.2011.133openalex-snapshot
Social Event Detection in Massive Mobile Phone Data Using Probabilistic Location Inference
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Global Migration and the World Economy: Two Centuries of Policy and Performance. By TIMOTHY J. HATTON and JEFFREY G. WILLIAMSON
inferredcites →https://doi.org/10.1126/science.1167053openalex-snapshot
Understanding the Spreading Patterns of Mobile Phone Viruses
inferredcites →https://doi.org/10.1126/science.1177170openalex-snapshot
Limits of Predictability in Human Mobility
inferredcites →https://doi.org/10.1126/science.1186605openalex-snapshot
Network Diversity and Economic Development
inferredcites →https://doi.org/10.1145/1461928.1461944openalex-snapshot
Improving performance on the internet
inferredcites →https://doi.org/10.1145/1526709.1526816openalex-snapshot
Mining interesting locations and travel sequences from GPS trajectories
inferredcites →https://doi.org/10.1145/1772690.1772732openalex-snapshot
Equip tourists with knowledge mined from travelogues
inferredcites →https://doi.org/10.1145/1772690.1772795openalex-snapshot
Collaborative location and activity recommendations with GPS history data
inferredcites →https://doi.org/10.1371/journal.pone.0016939openalex-snapshot
Geographic Constraints on Social Network Groups
inferredcites →https://doi.org/10.1371/journal.pone.0020814openalex-snapshot
Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data
inferredcites →https://doi.org/10.3141/1780-10openalex-snapshot
Travel and the Built Environment: A Synthesis
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Global migration and the world economy: two centuries of policy and performance
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Behavioral Insights for Development from Mobile Network Big Data: Enlightening Policy Makers on the State of the Art
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Population data mobility retrieval at territory of Czechia in pandemic COVID‐19 period
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A Multi-City Urban Population Mobility Study Using Mobile Phone Traffic Data
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Enriching sparse mobility information in Call Detail Records
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Assessing the validity of mobile device data for estimating visitor demographics and visitation patterns in Yellowstone National Park
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Visualizing mobile phone usage for exploratory analysis
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Inferring Commuting Flows Using CDR Data
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Revisitation in Urban Space vs. Online
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Spatio-temporal Analysis of Mobile Phone and Social Media Data Across Multiple Disaster Scenarios: An Input to Population Exposure Assessment
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Long-Term Trends in Activity Participation Observed with Crowdsourced Data from an Experiment with the “OneBusAway” Application
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Income-related spatial concentration of individual social capital in cities
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Intersectional approach of everyday geography
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Optimizing Non-pharmaceutical Interventions Using Multi-coaffiliation Networks
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On the Use of Human Mobility Proxies for Modeling Epidemics
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Weather Effects on Mobile Social Interactions: A Case Study of Mobile Phone Users in Lisbon, Portugal
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Weather Effects on the Patterns of People's Everyday Activities: A Study Using GPS Traces of Mobile Phone Users
inferred← citeshttps://doi.org/10.1371/journal.pone.0081707openalex-snapshot
Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries
inferred← citeshttps://doi.org/10.1371/journal.pone.0092196openalex-snapshot
Entangling Mobility and Interactions in Social Media
inferred← citeshttps://doi.org/10.1371/journal.pone.0096180openalex-snapshot
Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data
inferred← citeshttps://doi.org/10.1371/journal.pone.0097010openalex-snapshot
Intra-Urban Human Mobility and Activity Transition: Evidence from Social Media Check-In Data
inferred← citeshttps://doi.org/10.1371/journal.pone.0105184openalex-snapshot
Cross-Checking Different Sources of Mobility Information
inferred← citeshttps://doi.org/10.1371/journal.pone.0124160openalex-snapshot
Mobile Phone Call Data as a Regional Socio-Economic Proxy Indicator
inferred← citeshttps://doi.org/10.1371/journal.pone.0133185openalex-snapshot
Physical Forces between Humans and How Humans Attract and Repel Each Other Based on Their Social Interactions in an Online World
inferred← citeshttps://doi.org/10.1371/journal.pone.0133630openalex-snapshot
Measures of Human Mobility Using Mobile Phone Records Enhanced with GIS Data
inferred← citeshttps://doi.org/10.1371/journal.pone.0140589openalex-snapshot
Re-Identification Risk versus Data Utility for Aggregated Mobility Research Using Mobile Phone Location Data
inferred← citeshttps://doi.org/10.1371/journal.pone.0193795openalex-snapshot
Statistical patterns of human mobility in emerging Bicycle Sharing Systems
inferred← citeshttps://doi.org/10.1371/journal.pone.0211375openalex-snapshot
Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data
inferred← citeshttps://doi.org/10.1371/journal.pone.0215361openalex-snapshot
Research on the application of mobile phone location signal data in earthquake emergency work: A case study of Jiuzhaigou earthquake
inferred← citeshttps://doi.org/10.1371/journal.pone.0264860openalex-snapshot
Using mobile phone data to estimate dynamic population changes and improve the understanding of a pandemic: A case study in Andorra
inferred← citeshttps://doi.org/10.1371/journal.pone.0272863openalex-snapshot
Recent advances in urban system science: Models and data
inferred← citeshttps://doi.org/10.1533/9780857098467.2.205openalex-snapshot
Using social network analysis (SNA) to design socially aware network solutions in delay-tolerant networks (DTNs)
inferred← citeshttps://doi.org/10.17645/si.v9i2.3839openalex-snapshot
The Relationship between Ethno-Linguistic Composition of Social Networks and Activity Space: A Study Using Mobile Phone Data
inferred← citeshttps://doi.org/10.18637/jss.v103.i04openalex-snapshot
scikit-mobility : A Python Library for the Analysis, Generation, and Risk Assessment of Mobility Data
inferred← citeshttps://doi.org/10.21138/bage.2848openalex-snapshot
Análisis de la movilidad espacial de la población asociada a huracanes a partir de la sombra digital geoespacial derivada de Twitter
inferred← citeshttps://doi.org/10.21638/11701/spbu07.2018.104openalex-snapshot
Analyzing local labor markets through commuting (a study of Moscow municipalities)
inferred← citeshttps://doi.org/10.21638/spbu07.2021.301openalex-snapshot
The experience of using the mobile phone data in economic geographical researches in foreign
inferred← citeshttps://doi.org/10.2196/jmir.6240openalex-snapshot
Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis
inferred← citeshttps://doi.org/10.23740/qual_methods2017openalex-snapshot
QUALITATIVE RESEARCH IN REGIONAL GEOGRAPHY. A METHODOLOGICAL APPROACH
inferred← citeshttps://doi.org/10.2478/jos-2018-0046openalex-snapshot
Assessing the Quality of Home Detection from Mobile Phone Data for Official Statistics
inferred← citeshttps://doi.org/10.24996/ijs.2022.63.5.36openalex-snapshot
A Review of Flow Migration Through Mobile Networks
inferred← citeshttps://doi.org/10.26481/dis.20231127xlopenalex-snapshot
The role of data in sustainable urban mobility policy
inferred← citeshttps://doi.org/10.31219/osf.io/c5f7gopenalex-snapshot
Assessing the representativeness of mobile phone data
inferred← citeshttps://doi.org/10.32657/10356/164589openalex-snapshot
Trajectory data simplification, similarity search and inference with deep learning
inferred← citeshttps://doi.org/10.32782/geochasvnu.2023.1.06openalex-snapshot
ПРОСТОРОВИЙ ВИМІР МЕРЕЖІ МОБІЛЬНОГО ЗВ’ЯЗКУ – КЕЙС МЕРЕЖІ VODAFONE У ЗАХІДНІЙ УКРАЇНІ
inferred← citeshttps://doi.org/10.3389/fpubh.2022.999521openalex-snapshot
Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK
inferred← citeshttps://doi.org/10.3390/data4010008openalex-snapshot
Spatiotemporal Analysis of Urban Mobility Using Aggregate Mobile Phone Derived Presence and Demographic Data: A Case Study in the City of Rome, Italy
inferred← citeshttps://doi.org/10.3390/e22030368openalex-snapshot
Entropy as a Measure of Attractiveness and Socioeconomic Complexity in Rio de Janeiro Metropolitan Area
inferred← citeshttps://doi.org/10.3390/e24050726openalex-snapshot
Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic
inferred← citeshttps://doi.org/10.3390/electronics10151782openalex-snapshot
Statistical Model for Mobile User Positioning Based on Social Information
inferred← citeshttps://doi.org/10.3390/encyclopedia2040126openalex-snapshot
Application of Mobile Operators’ Data in Modern Geographical Research
inferred← citeshttps://doi.org/10.3390/ijgi10020073openalex-snapshot
Comparative Analysis of Geolocation Information through Mobile-Devices under Different COVID-19 Mobility Restriction Patterns in Spain
inferred← citeshttps://doi.org/10.3390/ijgi9050306openalex-snapshot
Methods for Inferring Route Choice of Commuting Trip From Mobile Phone Network Data
inferred← citeshttps://doi.org/10.3390/s21103424openalex-snapshot
Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitoring
inferred← citeshttps://doi.org/10.3390/su15076287openalex-snapshot
Public Transport Usage and Perceived Service Quality in a Large Metropolitan Area: The Case of Porto
inferred← citeshttps://doi.org/10.3390/su8111202openalex-snapshot
Mapping Dynamic Urban Land Use Patterns with Crowdsourced Geo-Tagged Social Media (Sina-Weibo) and Commercial Points of Interest Collections in Beijing, China
inferred← citeshttps://doi.org/10.37830/sjs.2020.1.04openalex-snapshot
Towards a modular end-to-end statistical production process with mobile network data
inferred← citeshttps://doi.org/10.4000/14g7lopenalex-snapshot
Réinscrire les mobilités quotidiennes dans leurs contextes. Une typologie des journées de travail des navetteur⋅ses en France
inferred← citeshttps://doi.org/10.4000/netcom.2742openalex-snapshot
Exploring the use of mobile phone data for domestic tourism trip analysis
inferred← citeshttps://doi.org/10.4018/978-1-4666-6170-7.ch014openalex-snapshot
Using Call Detail Records of Mobile Network Operators for Transportation Studies
inferred← citeshttps://doi.org/10.4018/978-1-5225-5210-9.ch020openalex-snapshot
Using Call Detail Records of Mobile Network Operators for Transportation Studies
inferred← citeshttps://doi.org/10.4018/ijcbpl.2013070106openalex-snapshot
Mobile Phones in Data Collection
inferred← citeshttps://doi.org/10.4310/sii.2013.v6.n4.a14openalex-snapshot
Comparing spatial counts characterizing human mobility using ratio maps
inferred← citeshttps://doi.org/10.48550/arxiv.1706.00690openalex-snapshot
A Comparison of Spatial-based Targeted Disease Containment Strategies using Mobile Phone Data
inferred← citeshttps://doi.org/10.48550/arxiv.1808.06398openalex-snapshot
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art
inferred← citeshttps://doi.org/10.4995/cit2016.2016.4251openalex-snapshot
SOCIAL NETWORKS, BIG DATA AND TRANSPORT PLANNING
inferred← citeshttps://doi.org/10.5194/isprsannals-ii-4-w2-217-2015openalex-snapshot
SPATIAL AND TEMPORAL ANALYSIS OF HUMAN MOVEMENTS AND APPLICATIONS FOR DISASTER RESPONSE MANAGEMENT UTILIZING CELL PHONE USAGE DATA
inferred← citeshttps://doi.org/10.5334/dsj-2018-024openalex-snapshot
Resembling Population Density Distribution with Massive Mobile Phone Data
inferred← citeshttps://doi.org/10.5334/dsj-2019-001openalex-snapshot
Understanding Human Mobility Patterns in a Developing Country Using Mobile Phone Data
inferred← citeshttps://doi.org/10.5507/ff.21.24460321openalex-snapshot
KNOWCON 2021. Knowledge on Economics and Management: Conference Proceedings
inferred← citeshttps://doi.org/10.6084/m9.figshare.14516116openalex-snapshot
Additional file 1 of An end-to-end statistical process with mobile network data for official statistics
inferred← citeshttps://doi.org/10.70675/4ee3d9f5ze251z40c5z9fbbz2cce69c92bddopenalex-snapshot
Human Habits Investigation : from Mobility Reconstruction to Mobile Traffic Prediction
inferred← citeshttps://doi.org/10.70675/91b6c4eez31b6z414bz8c69z6ee3130931b7openalex-snapshot
Adaptative modeling of urban dynamics with mobile phone database
inferred← citeshttps://doi.org/10.70675/a4a31a9fz5036z49e2z9256zcd9c49a962c4openalex-snapshot
Extraction of mobility information through heterogeneous data fusion : a multi-source, multi-scale, and multi-modal problem
inferred← citeshttps://doi.org/10.7717/peerj-cs.276openalex-snapshot
Identifying multiscale spatio-temporal patterns in human mobility using manifold learning
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