dc.contributor.authorDoshi, Deepen
dc.contributor.authorMalhotra, Baljeet
dc.contributor.authorBressan, Stéphane
dc.contributor.authorLam, Jasmine Siu Lee
dc.date.accessioned2013-10-28T02:29:17Z
dc.date.available2013-10-28T02:29:17Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.identifier.citationDoshi, D., Malhotra, B., Bressan, S.,& Lam, J. S. L. (2012). Mining maritime schedules for analysing global shipping networks. International Journal of Business Intelligence and Data Mining, 7(3), 186-202.en_US
dc.identifier.urihttp://hdl.handle.net/10220/16941
dc.description.abstractShipping plays a vital role as trade facilitator in providing cost-efficient transportation. The International Maritime Organisation (IMO) reports that over 90% of the world trade volume is carried by merchant ships. The analysis of shipping networks therefore can create invaluable insight into global trade. In this paper we study the appropriateness of various graph centrality measures to rate, compare and rank ports from various perspectives of global shipping networks. In particular, we illustrate the potential of such analysis on the example of shipping networks constructed from the schedules, readily available on the World Wide Web, of six shipping companies that transport 35-40% of the total volume traded (in TEUs) worldwide.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesInternational journal of business intelligence and data mining.en_US
dc.titleMining maritime schedules for analysing global shipping networksen_US
dc.typeJournal Article
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1504/IJBIDM.2012.049554


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