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Guide to Maritime Informatics |
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Titre de série : Guide to Maritime Informatics, ch Titre : Maritime Network Analysis: Connectivity and Spatial Distribution Type de document : Chapitre/Contribution Auteurs : César Ducruet, Auteur ; Justin Berli Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2021 Importance : pp 299 - 317 Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) In this chapter, we apply conventional graph-theory and complex network methods to a sample of port and inter-port shipping flows at and amongst the top 50 European ports in 2017. Such methods help to detect the main topological and geographic structures of this network in order to answer three main questions. First, why are certain port nodes better connected than others? Such a level of hierarchy is best approached by testing the scale-free and rich-club dimension of the network. For this we measure node connectivity in various ways, from local to global indices, all confirming inequality in traffic distribution. Second, what is the influence of cargo specialisation or diversity on the network structure? This relates to the concepts of multiplexity and assortativity, i.e. the ability of nodes to diversify their activity or to specialise. Two principal layers are analysed and compared, namely cargo and bulk, showing that larger ports and links are more diversified. Lastly, what are the substructures or geographic patterns underlying the distribution of maritime flows? To answer this, we examine the influence of physical distance on connectivity and on the emergence of subnetworks. Numéro de notice : H2021- Affiliation des auteurs : non IGN Nature : Chapître / contribution nature-HAL : ChOuvrScient DOI : 10.1007/978-3-030-61852-0_10 En ligne : https://doi.org/10.1007/978-3-030-61852-0_10 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101882
