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Revealing implicit competition and functional similarity in trade-logistics networks

文献类型：期刊论文

作者Yong, Heng2,3; Yang, Yu1,3; Zhang, Haiping2,3; Zhang, Lu3; Chen, Jiazheng2,3; Guo, Jinzhao2,3
刊名TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
出版日期2026-03-01
卷号207页码:104650
关键词Trade logistics networks Subgraphs Indirect relationships Competitive relationships Complex networks
ISSN号1366-5545
DOI10.1016/j.tre.2025.104650
产权排序1
文献子类Article
英文摘要Analyzing interaction relationships and patterns among participants within large-scale complex trade logistics networks can reveal role differentiation, interaction strategies, and latent risks inherent in network systems. Current research predominantly focuses on explicit direct relationships, lacking sufficient understanding of the implicit indirect relationships driven by shared nodes. Such indirect relationships in trade logistics networks carry dual connotations: (1) potential competition between two trade entities sharing the same market, and (2) a functional similarity between them arising from serving the same market. However, existing research is often limited to a singular competition perspective, and its quantification metrics, relying on absolute flows, struggle to measure the true strategic dependence between trade entities. To address this gap, this study introduces the concept of the mediator subgraph as a structured network unit. It proposes a novel statistic based on relative importance to quantify these two indirect relationships and assesses their statistical significance via a permutation test. Building on this, four fundamental interaction patterns are identified from the combination of the strength and significance of these two relationships. The framework's effectiveness is validated through synthetic data experiments and then applied to the 2013-2023 global crude oil trade network. Results show that the evolution of the indirect relationship network, guided by key players as shared nodes (e.g., Russia and China), highly corresponds with concurrent geopolitical dynamics. This research provides a novel perspective and analytical tool for understanding complex implicit interactions among trade entities, contributing to more precise guidance for trade policy formulation and supply chain optimization.
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WOS关键词CRUDE-OIL TRADE ; INTERNATIONAL-TRADE ; SHIPPING NETWORK ; BELT ; EVOLUTION ; ROAD ; COMPLEMENTARITY ; NODES ; CHINA
WOS研究方向Business & Economics ; Engineering ; Operations Research & Management Science ; Transportation
语种英语
WOS记录号WOS:001656361900001
出版者PERGAMON-ELSEVIER SCIENCE LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/219703]  
专题区域可持续发展分析与模拟院重点实验室_外文论文
通讯作者Yang, Yu
作者单位1.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
推荐引用方式
GB/T 7714		 Yong, Heng,Yang, Yu,Zhang, Haiping,et al. Revealing implicit competition and functional similarity in trade-logistics networks[J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW,2026,207:104650.
APA Yong, Heng,Yang, Yu,Zhang, Haiping,Zhang, Lu,Chen, Jiazheng,&Guo, Jinzhao.(2026).Revealing implicit competition and functional similarity in trade-logistics networks.TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW,207,104650.
MLA Yong, Heng,et al."Revealing implicit competition and functional similarity in trade-logistics networks".TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW 207(2026):104650.

入库方式： OAI收割

来源：地理科学与资源研究所

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