This paper presents a critical review of the economic network analysis methods and their applications to maritime transport. A network can be presented in terms of its structure, topology, characteristics as well as the connectivity with different measures such as density, degree distribution, centrality (degree, betweenness, closeness, eigenvector and strength), clustering coefficient, average shortest path length and assortative. Various models such as the random graph model, block model, and ERGM can be used to analyse and explore the formation of a network and interaction between nodes. The review of the existing theories and models has found that, while these models are rather computationally intensive, they are based on some rather restrictive assumption on network formation and relationship between ports in the network at the local and global levels that require further investigation. Based on the review, a conceptual framework for maritime transport network research is developed, and the applications for future research are also discussed.

Item Type:	Refereed Article
Keywords:	transportation networks, shipping network, statistical properties, network analysis, models and applications
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:	Water transport
Objective Field:	International passenger water transport (e.g. passenger ships)
UTAS Author:	Kanrak, M (Miss Maneerat Kanrak)
UTAS Author:	Nguyen, HO (Associate Professor Oanh Nguyen)
UTAS Author:	Du, Y (Dr Bill Du)
ID Code:	145470
Year Published:	2019
Deposited By:	Maritime and Logistics Management
Deposited On:	2021-07-22
Last Modified:	2021-11-23
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