Please use this identifier to cite or link to this item: https://doi.org/10.1504/IJBIDM.2012.049554
Title: Mining Maritime schedules for analysing global shipping networks
Authors: Doshi, D.
Malhotra, B.
Bressan, S. 
Lam, J.S.L.
Keywords: Algorithms
Data mining
Graphs
Maritime schedules
Measurement
Ports
Ranking
Shipping networks
Issue Date: 2012
Source: Doshi, 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. ScholarBank@NUS Repository. https://doi.org/10.1504/IJBIDM.2012.049554
Abstract: Shipping plays a vital role as trade facilitator in providing cost-effi cient 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. Copyright © 2012 Inderscience Enterprises Ltd.
Source Title: International Journal of Business Intelligence and Data Mining
URI: http://scholarbank.nus.edu.sg/handle/10635/39548
ISSN: 17438187
DOI: 10.1504/IJBIDM.2012.049554
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