Geo-located Twitter as proxy for global mobility patterns.
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Human diffusion and city influenceComparing and modelling land use organization in citiesModelling human mobility patterns using photographic data shared onlineA multi-source dataset of urban life in the city of Milan and the Province of TrentinoInfluence of sociodemographic characteristics on human mobility [corrected]Exploring Twitter to analyze the public's reaction patterns to recently reported homicides in LondonContextual Sensing: Integrating Contextual Information with Human and Technical Geo-Sensor Information for Smart Cities.Mobile phone call data as a regional socio-economic proxy indicator.Improving Large Area Population Mapping Using Geotweet DensitiesExploring the potential of open big data from ticketing websites to characterize travel patterns within the Chinese high-speed rail system.Sensing the public's reaction to crime news using the 'Links Correspondence Method'.Geo-Located Tweets. Enhancing Mobility Maps and Capturing Cross-Border MovementCities through the Prism of People's Spending BehaviorCharacterizing International Travel Behavior from Geotagged Photos: A Case Study of FlickrAbundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis.Uncovering Urban Temporal Patterns from Geo-Tagged Photography.Multi-scale spatio-temporal analysis of human mobility.A stochastic model of randomly accelerated walkers for human mobility.Individual Movement Strategies Revealed through Novel Clustering of Emergent Movement Patterns.Fuzzy Modelling for Human Dynamics Based on Online Social NetworksGlobal multi-layer network of human mobility.Identifying and modeling the structural discontinuities of human interactions.Prediction limits of mobile phone activity modelling.Structure of 311 service requests as a signature of urban location.Pendular behavior of public transport networks.Tracking random walks.General optimization technique for high-quality community detection in complex networks.Immigrant community integration in world cities.Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns.Predicting human mobility through the assimilation of social media traces into mobility modelsRevisiting the death of geography in the era of Big Data: the friction of distance in cyberspace and real spaceInvasive house geckos ( spp.): their current, potential and future distributionArchiving information from geotagged tweets to promote reproducibility and comparability in social media researchSpatio-Temporal Analytics for Exploring Human Mobility Patterns and Urban Dynamics in the Mobile AgeA local scale-sensitive indicator of spatial autocorrelation for assessing high- and low-value clusters in multiscale datasetsIntroduction: Spatial Big Data and everyday lifeAn Analysis of Visitors' Behavior in the Louvre Museum: A Study Using Bluetooth DataThe Geography of Cultural Ties and Human Mobility: Big Data in Urban ContextsMonitoring of the Venezuelan exodus through Facebook's advertising platform
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Geo-located Twitter as proxy for global mobility patterns.
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Geo-located Twitter as proxy for global mobility patterns.
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Geo-located Twitter as proxy for global mobility patterns.
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Geo-located Twitter as proxy for global mobility patterns.
@en
Geo-located Twitter as proxy for global mobility patterns.
@nl
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Geo-located Twitter as proxy for global mobility patterns.
@en
Geo-located Twitter as proxy for global mobility patterns.
@nl
P2093
P2860
P1476
Geo-located Twitter as proxy for global mobility patterns.
@en
P2093
Bartosz Hawelka
Carlo Ratti
Euro Beinat
Izabela Sitko
Pavlos Kazakopoulos
Stanislav Sobolevsky
P2860
P304
P356
10.1080/15230406.2014.890072
P577
2014-02-26T00:00:00Z