中文

Journal of Shanghai University >

2018 , Vol. 24 >Issue 3: 495 - 502

DOI: https://doi.org/10.12066/j.issn.1007-2861.1891

Research Paper

Analysis of connectivity between China and the Maritime Silk Road

Expand
  • Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China

Received date: 2016-12-05

  Online published: 2018-06-28

Fold

Abstract

Interconnection of a shipping network is of great significance to the development of the shipping industry and the world trade. China is the advocator of the Maritime Silk Road, and is its origin. To analyze characteristics of the Maritime Silk Road shipping network, connectivity is studied between China and the Maritime Silk Road based on maritime complex networks, relating to the degree distribution, degree centrality, closeness centrality and other indicators. Damage caused by node failure and edge failure due to disconnection of the network is studied through computer simulation.

Key words： shipping network; complex network; connectivity; edge failure; node failure

Cite this article

YANG Cuixiang, ZONG Kang, HU Zhihua . Analysis of connectivity between China and the Maritime Silk Road[J]. Journal of Shanghai University, 2018 , 24(3) : 495 -502 . DOI: 10.12066/j.issn.1007-2861.1891

References

[1] Liu J, Xiong Q, Shi W, et al. Evaluating the importance of nodes in complex networks[J]. Statistical Mechanics and Its Applications, 2016,452:209-219.
[2] Jiang J, Lee L H, Chew E P, et al. Port connectivity study: an analysis framework from a global container liner shipping network perspective[J]. Transportation Research, 2015,73:47-64.
[3] Tovar B, Hernádez R, Rodríuez-Déiz H. Container port competitiveness and connectivity: the Canary Islands main ports case[J]. Transport Policy, 2015,38:40-51.
[4] Lam J S L, Yap W Y. Dynamics of liner shipping network and port connectivity in supply chain systems: analysis on East Asia[J]. Journal of Transport Geography, 2011,19:1272-1281.
[5] Wang J S, Wu X P, Yan B, et al. Improved method of node importance evaluation based on node contraction in complex networks[J]. Procedia Engineering, 2011,15:1600-1604.
[6] Agryzkov T, Oliver J L, Tortosa L, et al. A new betweenness centrality measure based on an algorithm for ranking the nodes of a network[J]. Applied Mathematics and Computation, 2014,244:467-478.
[7] Ren Z M. Node importance measurement based on the degree and clustering coefficient information[J]. Acta Physica Sinca, 2013,62(12):505.
[8] 陈鑫. 我国海上运输通道脆弱性分析[D]. 大连: 大连海事大学, 2015.
[9] 牟向伟, 陈燕, 杨明, 等. 班轮航运网络拓扑特性[J]. 大连海事大学学报, 2009,35(2):34-37.
[10] 田炜, 邓贵仕, 武佩剑, 等. 世界航运网络复杂性分析[J]. 大连理工大学学报, 2007,47(4):605-609.
[11] 徐梦俏. 世界海运复杂网络中心性研究[D]. 大连: 大连海事大学, 2013.
[12] 彭燕妮. 基于复杂网络理论的集装箱班轮航运网络演化研究[D]. 大连: 大连海事大学, 2014.
[13] 曾庆成, 滕藤. 海上丝绸之路航线网络的复杂性分析[J]. 中国航海, 2015,38(2):122-125.
[14] 陈永盛. 电力系统震后连通性与可靠性研究[D]. 哈尔滨: 中国地震局工程力学研究所, 2010.
Options
Outlines

/

〈 〉