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Stanislav Sobolevsky

Showing results (1-10 of 16) with videos related to

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Frontiers in Big Data|March 20, 2024
Urban delineation through a prism of intraday commute patternsYuri Bogomolov, Alexander Belyi, Stanislav Sobolevsky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
General optimization technique for high-quality community detection in complex networksStanislav Sobolevsky, Riccardo Campari, Alexander Belyi, et al.
Plos One|June 17, 2014
Exploring universal patterns in human home-work commuting from mobile phone dataKevin S Kung, Kael Greco, Stanislav Sobolevsky, et al.
Plos One|October 18, 2017
Structure of 311 service requests as a signature of urban locationLingjing Wang, Cheng Qian, Philipp Kats, et al.
Cartography and Geographic Information Science|March 29, 2016
Geo-located Twitter as proxy for global mobility patternsBartosz Hawelka, Izabela Sitko, Euro Beinat, et al.
Plos One|December 25, 2013
Delineating geographical regions with networks of human interactions in an extensive set of countriesStanislav Sobolevsky, Michael Szell, Riccardo Campari, et al.
Royal Society Open Science|April 8, 2017
Prediction limits of mobile phone activity modellingDániel Kondor, Sebastian Grauwin, Zsófia Kallus, et al.
Plos One|December 10, 2016
Uncovering Urban Temporal Patterns from Geo-Tagged PhotographySilvia Paldino, Dániel Kondor, Iva Bojic, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 9, 2014
Quantifying the benefits of vehicle pooling with shareability networksPaolo Santi, Giovanni Resta, Michael Szell, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 16, 2014
Reply to Lopez et al.: Sustainable implementation of taxi sharing requires understanding systemic effectsPaolo Santi, Giovanni Resta, Michael Szell, et al.
Pageof 2

Showing results (1-10 of 16) with videos related to

Sort By:
Pageof 2
Frontiers in Big Data|March 20, 2024
Urban delineation through a prism of intraday commute patternsYuri Bogomolov, Alexander Belyi, Stanislav Sobolevsky
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|August 15, 2014
General optimization technique for high-quality community detection in complex networksStanislav Sobolevsky, Riccardo Campari, Alexander Belyi, et al.
Plos One|June 17, 2014
Exploring universal patterns in human home-work commuting from mobile phone dataKevin S Kung, Kael Greco, Stanislav Sobolevsky, et al.
Plos One|October 18, 2017
Structure of 311 service requests as a signature of urban locationLingjing Wang, Cheng Qian, Philipp Kats, et al.
Cartography and Geographic Information Science|March 29, 2016
Geo-located Twitter as proxy for global mobility patternsBartosz Hawelka, Izabela Sitko, Euro Beinat, et al.
Plos One|December 25, 2013
Delineating geographical regions with networks of human interactions in an extensive set of countriesStanislav Sobolevsky, Michael Szell, Riccardo Campari, et al.
Royal Society Open Science|April 8, 2017
Prediction limits of mobile phone activity modellingDániel Kondor, Sebastian Grauwin, Zsófia Kallus, et al.
Plos One|December 10, 2016
Uncovering Urban Temporal Patterns from Geo-Tagged PhotographySilvia Paldino, Dániel Kondor, Iva Bojic, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 9, 2014
Quantifying the benefits of vehicle pooling with shareability networksPaolo Santi, Giovanni Resta, Michael Szell, et al.
Proceedings of the National Academy of Sciences of the United States of America|December 16, 2014
Reply to Lopez et al.: Sustainable implementation of taxi sharing requires understanding systemic effectsPaolo Santi, Giovanni Resta, Michael Szell, et al.
Pageof 2