Advanced Network Representation Learning for Container Shipping Network Analysis

被引：2
|
作者：
Jiang, Liupeng [1 ]
Chen, Lei [2 ]
Wang, Wei [1 ]
Wei, Wei [3 ]
Lv, Zhihan [4 ]
Wang, Heng [5 ]
机构：
[1] Hohai Univ, Coll Harbour Coastal & Offshore Engn, Nanjing, Peoples R China
[2] Hohai Univ, Inst Harbor Coast & Offshore Engn, Nanjing, Peoples R China
[3] Xian Univ Technol, Sch Comp Sci & Engn, Xian, Peoples R China
[4] Qingdao Univ, Qingdao, Peoples R China
[5] Henan Agr Univ, Coll Mech & Elect Engn, Zhengzhou, Peoples R China
来源：
IEEE NETWORK | 2021年 / 35卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Containers; Complex networks; Data mining; Transportation; Big Data; Marine vehicles; Faces;
D O I：
10.1109/MNET.011.2000444
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the increase of international trade activities, the dependence on container shipping is also increasing. The efficiency of container shipping activities will directly affect the trade exchanges between countries. However, traditional network analysis methods face many challenges, such as large-scale, highly dynamic and multi-dimensional issues. To this end, in this article, after reviewing existing network-based analysis methods and their limitations, we introduce the advanced network representation learning technology for container shipping network analysis. To demonstrate the effectiveness of the network representation learning based method, we perform a case study on container shipping network clustering, and the positive results demonstrate the potential of allying network representation learning for container shipping network analysis.
引用
收藏
页码：182 / 187
页数：6
相关论文
共 50 条
  • [1] An Analysis of Shipping Agreements: The Cooperative Container Network
    Simone Caschili
    Francesca Medda
    Francesco Parola
    Claudio Ferrari
    [J]. Networks and Spatial Economics, 2014, 14 : 357 - 377
  • [2] An Analysis of Shipping Agreements: The Cooperative Container Network
    Caschili, Simone
    Medda, Francesca
    Parola, Francesco
    Ferrari, Claudio
    [J]. NETWORKS & SPATIAL ECONOMICS, 2014, 14 (3-4): : 357 - 377
  • [3] NETWORK DATA ENVELOPMENT ANALYSIS OF CONTAINER SHIPPING LINES
    Lozano, S.
    Gutierrez, E.
    Furio, S.
    Salmeron, J. L.
    [J]. 14TH INTERNATIONAL CONFERENCE ON HARBOR, MARITIME AND MULTIMODAL LOGISTICS MODELLING AND SIMULATION (HMS 2012), 2012, : 140 - 145
  • [4] An eigenvector centrality analysis of world container shipping network connectivity
    Cheung, Kam-Fung
    Bell, Michael G. H.
    Pan, Jing-Jing
    Perera, Supun
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2020, 140
  • [5] The container shipping network design problem with empty container repositioning
    Shintani, Koichi
    Imai, Akio
    Nishimura, Etsuko
    Papadimitriou, Stratos
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2007, 43 (01) : 39 - 59
  • [6] Urban gravity in the global container shipping network
    Ducruet, Cesar
    Itoh, Hidekazu
    Berli, Justin
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2020, 85
  • [7] Community Structure of World Container Shipping Network
    Ge, Jia-Wei
    Wang, Xue-Feng
    Wan, Zheng
    Huang, Tian-Rong
    [J]. Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology, 2019, 19 (06): : 231 - 236
  • [8] Resilience Analysis of Container Port Shipping Network Structure: The Case of China
    He, Yao
    Yang, Yongchun
    Wang, Meimei
    Zhang, Xudong
    [J]. SUSTAINABILITY, 2022, 14 (15)
  • [9] Link prediction of the world container shipping network: A network structure perspective
    Ge, Jiawei
    Wang, Xuefeng
    Shi, Wenming
    [J]. CHAOS, 2021, 31 (11)
  • [10] Measuring the effect of distance on the network topology of the Global Container Shipping Network
    Dimitrios Tsiotas
    César Ducruet
    [J]. Scientific Reports, 11
12345