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Analysis of mobility homophily in Stockholm based on social network 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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Mobility Patterns and User Dynamics in Racially Segregated Geographies of US Cities
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Cross-Classified Multilevel Models: An Application to the Criminal Case Processing of Indicted Terrorists
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2017.08.004openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.jtrangeo.2018.10.010openalex-snapshot
Access and egress times to high-speed rail stations: a spatiotemporal accessibility analysis
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Negative binomial regression
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The Geotemporal Demographics of Twitter Usage
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Reconciling User Benefit and Time-Geography-Based Individual Accessibility Measures
inferredcites →https://doi.org/10.1073/pnas.1802537115openalex-snapshot
Urban mobility and neighborhood isolation in America’s 50 largest cities
inferredcites →https://doi.org/10.1080/13658816.2015.1089441openalex-snapshot
Geo-temporal Twitter demographics
inferredcites →https://doi.org/10.1080/13658816.2016.1145225openalex-snapshot
Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us?
inferredcites →https://doi.org/10.1080/13658816.2016.1273357openalex-snapshot
A data-synthesis-driven method for detecting and extracting vague cognitive regions
inferredcites →https://doi.org/10.1080/15230406.2014.890072openalex-snapshot
Geo-located Twitter as proxy for global mobility patterns
inferredcites →https://doi.org/10.1080/15230406.2018.1434834openalex-snapshot
Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level
inferredcites →https://doi.org/10.1080/24694452.2018.1484684openalex-snapshot
Mesoscale Structures in World City Networks
inferredcites →https://doi.org/10.1098/rsif.2019.0536openalex-snapshot
Quantifying segregation in an integrated urban physical-social space
inferredcites →https://doi.org/10.1111/j.1538-4632.2009.00767.xopenalex-snapshot
“The Problem of Spatial Autocorrelation” and Local Spatial Statistics
inferredcites →https://doi.org/10.1126/science.1235823openalex-snapshot
The Origins of Scaling in Cities
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Not All Apps Are Created Equal
inferredcites →https://doi.org/10.1177/0042098018795561openalex-snapshot
Geographies of ethnic segregation in Stockholm: The role of mobility and co-presence in shaping the ‘diverse’ city
inferredcites →https://doi.org/10.1177/0308518x16673213openalex-snapshot
Measuring urban segregation based on individuals’ daily activity patterns: A multidimensional approach
inferredcites →https://doi.org/10.1177/0308518x19891911openalex-snapshot
Understanding neighborhood isolation through spatial interaction network analysis using location big data
inferredcites →https://doi.org/10.1287/trsc.2019.0898openalex-snapshot
A Dynamic Discrete Choice Activity-Based Travel Demand Model
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A Tale of Many Cities: Universal Patterns in Human Urban Mobility
inferredcites →https://doi.org/10.1371/journal.pone.0131469openalex-snapshot
Understanding Human Mobility from Twitter
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When Should You Adjust Standard Errors for Clustering?
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Assessing Completeness and Spatial Error of Features in Volunteered Geographic Information
inferredcites →https://doi.org/10.3846/20296991.2015.1160493openalex-snapshot
TESTING THE POSITIONAL ACCURACY OF OPENSTREETMAP DATA FOR MAPPING APPLICATIONS
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Investigating the potential of social network data for transport demand models
inferredcites →https://doi.org/10.5311/josis.2020.21.587openalex-snapshot
How does socio-economic and demographic dissimilarity determine physical and virtual segregation?
inferredcites →https://doi.org/10.7758/rsf.2017.3.2.09openalex-snapshot
Socioeconomic Segregation of Activity Spaces in Urban Neighborhoods: Does Shared Residence Mean Shared Routines?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.2139/ssrn.4072107openalex-extracted
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inferred← citeshttps://doi.org/10.1007/s10940-026-09677-3openalex-snapshot
Investigating How Social and Physical Distance Impact Offender and Victim Mobility with Discrete Choice Modeling
inferred← citeshttps://doi.org/10.1007/s12061-026-09838-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s44212-024-00058-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s44243-024-00052-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.apgeog.2025.103738openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cities.2022.103929openalex-snapshot
Unfolding community homophily in U.S. metropolitans via human mobility
inferred← citeshttps://doi.org/10.1016/j.cities.2022.103944openalex-snapshot
How do measure the triangle of human mobility in urban nightlife?
inferred← citeshttps://doi.org/10.1016/j.cities.2022.104010openalex-snapshot
Measuring the impact of slow zones on street life using social media
inferred← citeshttps://doi.org/10.1016/j.compenvurbsys.2025.102250openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jum.2025.01.004openalex-snapshot
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Smart curbs: Measuring street activities in real-time using computer vision
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The role of urban amenities in facilitating social mixing: Evidence from Stockholm
inferred← citeshttps://doi.org/10.1016/j.scs.2022.103869openalex-snapshot
Aggravated social segregation during the COVID-19 pandemic: Evidence from crowdsourced mobility data in twelve most populated U.S. metropolitan areas
inferred← citeshttps://doi.org/10.1016/j.urbmob.2025.100108openalex-snapshot
Mapping the Detroit mobility ecosystem: A case study of a regional initiative centered on future mobility solutions
inferred← citeshttps://doi.org/10.1038/s41598-021-00416-1openalex-snapshot
Universal patterns of long-distance commuting and social assortativity in cities
inferred← citeshttps://doi.org/10.1080/00343404.2026.2665625openalex-snapshot
Between restriction and flow in the borders of the Democratic Republic of Congo
inferred← citeshttps://doi.org/10.1080/23729333.2024.2392213openalex-snapshot
Integrating social network analysis and cartography: the case of fire management in a Mexican biosphere reserve
inferred← citeshttps://doi.org/10.1080/24694452.2021.1935208openalex-snapshot
Beyond Distance Decay: Discover Homophily in Spatially Embedded Social Networks
inferred← citeshttps://doi.org/10.1177/09637214211042324openalex-snapshot
Integrating Insights About Human Movement Patterns From Digital Data Into Psychological Science
inferred← citeshttps://doi.org/10.1177/23998083231174025openalex-snapshot
Intersectional approach of everyday geography
inferred← citeshttps://doi.org/10.1177/23998083241309992openalex-snapshot
Clustering moves: Spatial network analysis in residential mobility
inferred← citeshttps://doi.org/10.1177/23998083261480192openalex-snapshot
A multi-dimensional framework for measuring urban inclusiveness and crime using mobility traces: A socio-spatial study of Lisbon
inferred← citeshttps://doi.org/10.15201/hungeobull.71.4.5openalex-snapshot
Population mobility and urban transport management: perspectives environmental quality degradation and sustainable development of suburban Makassar City, Indonesia
inferred← citeshttps://doi.org/10.15210/pixo.v6i22.2584openalex-snapshot
A PERCEPÇÃO URBANA NA ERA DIGITAL
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Grids: Graph-Based Regional Insights for Dynamic Spatialization in Building Energy Prediction
inferred← citeshttps://doi.org/10.48550/arxiv.2105.01464openalex-snapshot
Universal role of commuting in the reduction of social assortativity in cities
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