Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Bartosz Hawelka"'
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0170907 (2017)
We present and test a sequential learning algorithm for the prediction of human mobility that leverages large datasets of sequences to improve prediction accuracy, in particular for users with a short and non-repetitive data history such as tourists
Externí odkaz:
https://doaj.org/article/aa041ccea7664711a3d54244fd63c608
Autor:
Stanislav Sobolevsky, Izabela Sitko, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0146291 (2016)
Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we exploit a relatively unexplored source of data-anonymized records of bank card transactions collected in Spain by a big
Externí odkaz:
https://doaj.org/article/3ca923a786d14f7fa30b49ee88fb87c8
Purpose This paper aims to provide a network study of the structural and dynamical characteristics of tourism flows in Europe from 1995 to 2012. Design/methodology/approach Travels in Europe were studied by following the network science research para
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb7af38ce0118335f754ba4a47c184d7
http://hdl.handle.net/10447/232346
http://hdl.handle.net/10447/232346
Autor:
Alexander Kurbatski, Alexander Belyi, Bartosz Hawelka, Carlo Ratti, Stanislav Sobolevsky, Lada Rudikova, Izabela Sitko, Iva Bojic
Publikováno v:
International Journal of Geographical Information Science
Recent availability of geo-localized data capturing individual human activity together with the statistical data on international migration opened up unprecedented opportunities for a study on global mobility. In this paper we consider it from the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b65550167235871f832df74467e4a538
Autor:
Juan Murillo Arias, Carlo Ratti, Izabela Sitko, Stanislav Sobolevsky, Remi Tachet des Combes, Bartosz Hawelka
Publikováno v:
Public Library of Science
PLoS ONE, Vol 11, Iss 2, p e0146291 (2016)
PLoS ONE
PLoS ONE, Vol 11, Iss 2, p e0146291 (2016)
PLoS ONE
Scientific studies of society increasingly rely on digital traces produced by various aspects of human activity. In this paper, we exploit a relatively unexplored source of data–anonymized records of bank card transactions collected in Spain by a b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b7d882d30027322fc88a7db36400509
https://orcid.org/0000-0002-5209-1843
https://orcid.org/0000-0002-5209-1843
Autor:
Iva Bojic, Juan Murillo Arias, Izabela Sitko, Alexander Belyi, Stanislav Sobolevsky, Carlo Ratti, Bartosz Hawelka
Publikováno v:
MIT web domain
BigData Congress
BigData Congress
Scientific studies investigating laws and regularities of human behavior are nowadays increasingly relying on the wealth of widely available digital information produced by human activity. In this paper we use big data created by three different aspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f691e59bff27de721e530b5b78ac55a1
Autor:
Juan Murillo Arias, Izabela Sitko, Stanislav Sobolevsky, Carlo Ratti, Bartosz Hawelka, Remi Tachet des Combes
Publikováno v:
BigData Congress
Increasing availability of big data, which documents human activity in space and time, offers new solutions to well-known operational problems. Recent studies have demonstrated how topological community detection in large-scale networks of human inte
Autor:
Stanislav Sobolevsky, Izabela Sitko, Sebastian Grauwin, Remi Tachet des Combes, Bartosz Hawelka, Juan Murillo Arias, Carlo Ratti
Intensive development of urban systems creates a number of challenges for urban planners and policy makers in order to maintain sustainable growth. Running efficient urban policies requires meaningful urban metrics, which could quantify important urb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2cdee404ee9736bc9e6fbd9a2b5573d
Autor:
Bartosz, Hawelka, Izabela, Sitko, Euro, Beinat, Stanislav, Sobolevsky, Pavlos, Kazakopoulos, Carlo, Ratti
Publikováno v:
Cartography and Geographic Information Science
Pervasive presence of location-sharing services made it possible for researchers to gain an unprecedented access to the direct records of human activity in space and time. This article analyses geo-located Twitter messages in order to uncover global