Journal of Dalian Maritime University >
2017 , Vol. 43 >Issue 1: 79 - 84
DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2017.01.013
Research on the connectivity of shipping route network based on complex network
Received date: 2016-03-07
Revised date: 2016-05-03
Online published: 2016-05-03
In order to reveal the characterristics of the shipping route network and evaluate the effect of ports failure on connectivity of network, the structure of shipping route network was analyzed based on complex network theory, and the connectivity of network under different failure patterns was studied. Results show that the shipping route network has a smaller average path length and a larger cluster coefficient at the same time, which has small-world effect, and the match between degree distribution and exponential distribution is better, which has the characteristic of scale-free property. The shipping route network invulnerability is robust under random failure and the connectivity is poor under selective failure. The study indicates that few hub ports play a key role on the shipping route network’s connectivity, which should be ensured on normal and efficient operation. And the structure of shipping route network need to be improved by intensifying the connection between the hub ports and general ports.
ZONG Kang , HU Zhi-hua . Research on the connectivity of shipping route network based on complex network[J]. Journal of Dalian Maritime University, 2017 , 43(1) : 79 -84 . DOI: 10.16411/j.cnki.issn1006-7736.2017.01.013
[1]武佩剑.集装箱班轮航运网络可靠性建模与仿真研究[D].大连:大连理工大学,2010.
WU Pei-jian.Research on reliability modeling and simulation for container liner shipping network[D].Dalian:Dalian University of Technology,2010.(in Chinese)
[2]WATTS D J,STROGATZ S H.Collective dynamics of small world networks[J].Nature,1998,393(6684):440-442.
[3]BARABASI A L,ALBERT R.Emergence of scaling in random networks[J].Science,1999,286(5439):509-512.
[4]汪涛,吴琳丽.基于复杂网络的城市公交网络抗毁性分析[J].计算机应用研究,2010,27(11):4084-4087.
WANG Tao,WU Lin-li.Research on invulnerability of urban transit network based on complex network[J].Application Research of Computers,2010,27(11):4084-4087.(in Chinese)
[5]熊文海.世界航运网络的结构特性及其动力学行为研究 [D].青岛:青岛大学,2009.
XIONG Wen-hai.Study of structural characteristics and dynamics of shipping complex network[D].Qingdao:Qingdao University,2009.(in Chinese)
[6]颜章龙.世界海运网络拓扑结构及演化规律研究[D].大连:大连海事大学,2013.
YAN Zhang-long.Research on topology and evolution of world shipping network[D].Dalian:Dalian Maritime University,2013.(in Chinese)
[7]LI Zhen-fu,XU Meng-qiao,SHI Yan-lei,et al.Centrality in global shipping network basing on worldwide shipping areas [J].GeoJournal,2015,80(1):47-60.
[8]JIANG Jian-lin,LEE Loo-hay,CHEW E P,et al.Port connectivity study:an analysis framework from a global container liner shipping network perspective[J]. Transportation Research Part E:Logistics and Transportation Review,2015,73:47-64.
[9]TOVAR B,HERNNDEZ R,RODRGUEZ-DNIZC H.Container port competitiveness and connectivity:the canary islands main ports case[J].Transport Policy,2015,38:40-51.
[10]赵亚龙.基于复杂网络理论的煤炭运输网络抗毁性研究 [D].北京:北京交通大学,2013.
ZHAO Ya-long.Research on invulnerability of coal transportation network based on complex network theory[D]. Beijing:Beijing Jiaotong University,2013.(in Chinese)
[11]HOLME P,KIM B J,YOON C N,et al.Attack vulnerability of complex networks[J].Physical Review E,2002,65(5):056-109.
[12]王松华.基于异质网络的关键节点识别研究[D].重庆:西南大学,2014.
WANG Song-hua.Research on identifying key nodes based on heterogeneous networks[D].Chongqing:Southwest University,2014.(in Chinese)
[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.
ZENG Qing-cheng,TENG Teng.Analysis of shipping network of maritime silk road based on methodology of complex networks [J].Navigation of China,2015,38(2):122-125.(in Chinese)
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