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Global multi-layer network of human mobility / Alexander Belyi in International journal of geographical information science IJGIS, vol 31 n° 7-8 (July - August 2017)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 31 n° 7-8 (July - August 2017) . - pp 1381 - 1402 Titre : Global multi-layer network of human mobility Type de document : Article/Communication Auteurs : Alexander Belyi, Auteur ; Iva Bojic, Auteur ; Stanislav Sobolevsky, Auteur ; et al., Auteur Année de publication : 2017 Article en page(s) : pp 1381 - 1402 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] appariement de données localisées [Termes IGN] base de données localisées [Termes IGN] couche thématique [Termes IGN] données issues des réseaux sociaux [Termes IGN] données statistiques [Termes IGN] migration humaine [Termes IGN] mobilité humaine [Termes IGN] monde (géographie politique) Résumé : (Auteur) 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 perspective of a multi-layer complex network, built using a combination of three datasets: Twitter, Flickr and official migration data. Those datasets provide different, but equally important insights on the global mobility – while the first two highlight short-term visits of people from one country to another, the last one – migration – shows the long-term mobility perspective, when people relocate for good. The main purpose of the paper is to emphasize importance of this multi-layer approach capturing both aspects of human mobility at the same time. On the one hand, we show that although the general properties of different layers of the global mobility network are similar, there are important quantitative differences among them. On the other hand, we demonstrate that consideration of mobility from a multi-layer perspective can reveal important global spatial patterns in a way more consistent with those observed in other available relevant sources of international connections, in comparison to the spatial structure inferred from each network layer taken separately. Numéro de notice : A2017-306 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2017.1301455 En ligne : http://dx.doi.org/10.1080/13658816.2017.1301455 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=85353 [article]

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