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Influence of sociodemographic characteristics on human mobility

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References

2001Birds of a Feather: Homophily in Social Networks18,551 cited
2008Understanding individual human mobility patterns6,071 cited
2009Computational Social Science3,359 cited
2010Limits of Predictability in Human Mobility3,230 cited
2006The scaling laws of human travel2,207 cited
2009Inferring friendship network structure by using mobile phone data1,858 cited
2006Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis865 cited
2010Find me if you can705 cited
2014Geo-located Twitter as proxy for global mobility patterns675 cited
2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
2009Understanding individual human mobility patterns484 cited
2014From mobile phone data to the spatial structure of cities458 cited
2007Cellular Census: Explorations in Urban Data Collection406 cited
2014A new insight into land use classification based on aggregated mobile phone data399 cited
2012Inferring land use from mobile phone activity299 cited
2013The Twitter of Babel: Mapping World Languages through Microblogging Platforms

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293 cited

Cited by

2019Computational socioeconomics115 cited
2020Crowdsourced Data Mining for Urban Activity: Review of Data Sources, Applications, and Methods97 cited
2015Comparing and modelling land use organization in cities94 cited
2020Knowledge diffusion in the network of international business travel85 cited
2023Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data79 cited
2016Cities through the Prism of People’s Spending Behavior75 cited
2017Structure of 311 service requests as a signature of urban location71 cited
2023COVID-19 is linked to changes in the time–space dimension of human mobility71 cited
2015Money Walks: Implicit Mobility Behavior and Financial Well-Being71 cited
2019Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona69 cited
2022Quantifying human mobility resilience to the COVID-19 pandemic: A case study of Beijing, China63 cited
2018Towards Matching User Mobility Traces in Large-Scale Datasets61 cited
2024Examining active travel behavior through explainable machine learning: Insights from Beijing, China60 cited
2016Population-weighted efficiency in transportation networks59 cited
2024An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques55 cited
2016Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes50 cited