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Link prediction of the world container shipping network: A network structure perspective

Citation

Ge, J and Wang, X and Shi, W, Link prediction of the world container shipping network: A network structure perspective, Chaos, 31 pp. 1-20. ISSN 1089-7682 (2021) [Refereed Article]


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DOI: doi:10.1063/5.0056864

Abstract

Although the world container shipping network (WCSN) has gradually been shaped with ever-increasing complexity in link evolution over the last decades, its evolving mechanism remains to be unveiled. This motivates us to explore the evolutionary pattern of the WCSN, which can be achieved by advancing the existing link prediction models. Using the k-shell decomposition method, the network hierarchy can be decomposed and evaluated by four indices which are KS-Salton, KS-AA, KS-RA, and KS-LRW. The results show that the network hierarchy depends largely on trade patterns and demonstrates certain geographic characteristics. Meanwhile, the KS-LRW index performs best and, therefore, is further simulated for the future WCSN by predicting its top 1677 potential edges, which significantly enhances the overall network connectivity and efficiency. These findings create profound implications for shipping companies to strategically reduce the trail cost for new lines by analyzing the network data.

Item Details

Item Type:Refereed Article
Keywords:World Container Shipping Network; K-shell Decomposition; KS-LRW Index; Link Prediction
Research Division:Commerce, Management, Tourism and Services
Research Group:Transportation, logistics and supply chains
Research Field:Maritime transportation and freight services
Objective Division:Transport
Objective Group:Environmentally sustainable transport activities
Objective Field:Management of gaseous waste from transport activities (excl. greenhouse gases)
UTAS Author:Shi, W (Dr Wenming Shi)
ID Code:147614
Year Published:2021
Deposited By:Maritime and Logistics Management
Deposited On:2021-11-10
Last Modified:2021-11-11
Downloads:0

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