Evaluation method for node importance in container supply chain network

被引:0
作者
Tian, Zhihong [1 ]
Liu, Honglu [2 ]
机构
[1] Beijing Inst Graph Commun, 1 Xinghua Ave,Band Two, Beijing 102600, Peoples R China
[2] Beijing Jiaotong Univ, 3 Shangyuancun, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
node importance; container supply chain; complex network; network topology; transmission efficiency;
D O I
10.1504/IJSTM.2016.078534
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, a new evaluation model for node importance in container supply chain is proposed. In this evaluation model, there are two important evaluation factors - the strength of node itself and the importance contribution from other nodes. Then, a case of global top 100 ports by container throughput in 2012 from Lloyd's list intelligence is investigated. The empirical research indicates that the distribution of node strength follows a power-law distribution, and the distribution of node degree follows an exponential distribution. We find that different method leads to a different ranking, because each method only reflects one aspect of features of nodes in the network. However, our evaluation method based on the node strength and the influence of neighbour nodes can reflects a more comprehensive evaluation result.
引用
收藏
页码:145 / 161
页数:17
相关论文
共 22 条
[1]  
Angeloudis P., Bichou K., Bell M.G., Fisk D., Security and Reliability of the Liner Container-Shipping Network: Analysis of Robustness Using A Complex Network Framework Risk Management in Port Operations, Logistics and Supply Chain Security, (2007)
[2]  
Deng W., Guo L., Li W., Cai X., Worldwide marine transportation network: Efficiency and container throughput, Chinese Physics Letters, 26, 11, (2009)
[3]  
Ducruet C., Notteboom T., The worldwide maritime network of container shipping: Spatial structure and regional dynamics, Global Networks, 12, 3, pp. 395-423, (2012)
[4]  
Ducruet C., Zaidi F., Maritime constellations: A complex network approach to shipping and ports, Maritime Policy & Management, 39, 2, pp. 151-168, (2012)
[5]  
Ducruet C., Rozenblat C., Zaidi F., Ports in multi-level maritime networks: Evidence from the Atlantic (1996-2006, Journal of Transport Geography, 18, 4, pp. 508-518, (2010)
[6]  
Fan W., Liu Z., Ranking method for node importance based on efficiency matrix, Journal of Southwest Jiaotong University, 49, 2, pp. 337-342, (2014)
[7]  
Fleming D.K., Hayuth Y., Spatial characteristics of transportation hubs: Centrality and intermediacy, Journal of Transport Geography, 2, 1, pp. 3-18, (1994)
[8]  
Freeman L.C., A set of measures of centrality based on betweenness, Sociometry, 40, 1, pp. 35-41, (1977)
[9]  
Hu J., Wang B., Lee D., Evaluating node importance with multi-criteria, IEEE-ACM International Conference on Green Computing and Communications and International Conference on Cyber, Physical and Social Computing, pp. 792-797, (2010)
[10]  
Hu Y., Zhu D., Empirical analysis of the worldwide maritime transportation network, Physica A: Statistical Mechanics and Its Applications, 388, 10, pp. 2061-2071, (2009)