Simulation analysis on the evolution driven model of global copper ore trade network
IntroductionIn the context of energy transition, the competition for copper resources among countries has intensified, and the global copper trade has become a vitally important trade chain. The global copper ore trade network is influenced by various factors, including resource distribution, supply...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-03-01
|
| Series: | Frontiers in Physics |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2025.1559799/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850025164474941440 |
|---|---|
| author | Qishen Chen Kun Wang Yanfei Zhang Qing Guan Jiayun Xing Tao Long Guodong Zheng Qiang Li Zhenqing Li Xin Ren Chenghong Shang Yueran Duan |
| author_facet | Qishen Chen Kun Wang Yanfei Zhang Qing Guan Jiayun Xing Tao Long Guodong Zheng Qiang Li Zhenqing Li Xin Ren Chenghong Shang Yueran Duan |
| author_sort | Qishen Chen |
| collection | DOAJ |
| description | IntroductionIn the context of energy transition, the competition for copper resources among countries has intensified, and the global copper trade has become a vitally important trade chain. The global copper ore trade network is influenced by various factors, including resource distribution, supply, demand, prices, transportation costs, etc.MethodsTo understand the evolution process of copper trade network and to predict the trend of supply chain structure evolution in future, in this paper, we construct a spatial weighted complex network evolution model based on complex network theory and gravity model using the import and export data and distance data of countries from 1990 to 2022.Results and discussionSimulation results show that the possibility of establishing copper ore trade between countries follows the spatial weighted complex network evolution model. It is proportional to the expected trade flow between countries and inversely proportional to the distance. The model will support the simulation analysis of the supply chain network structure evolution and help to carry out in-depth research on the forecast of future trade relations between important countries. |
| format | Article |
| id | doaj-art-eb68336bbb564ac897ba8f87e6e3d797 |
| institution | DOAJ |
| issn | 2296-424X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj-art-eb68336bbb564ac897ba8f87e6e3d7972025-08-20T03:00:55ZengFrontiers Media S.A.Frontiers in Physics2296-424X2025-03-011310.3389/fphy.2025.15597991559799Simulation analysis on the evolution driven model of global copper ore trade networkQishen Chen0Kun Wang1Yanfei Zhang2Qing Guan3Jiayun Xing4Tao Long5Guodong Zheng6Qiang Li7Zhenqing Li8Xin Ren9Chenghong Shang10Yueran Duan11Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaSchool of Information Engineering, China University of Geosciences (Beijing), Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaInstitute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, ChinaSchool of Information Engineering, China University of Geosciences (Beijing), Beijing, ChinaIntroductionIn the context of energy transition, the competition for copper resources among countries has intensified, and the global copper trade has become a vitally important trade chain. The global copper ore trade network is influenced by various factors, including resource distribution, supply, demand, prices, transportation costs, etc.MethodsTo understand the evolution process of copper trade network and to predict the trend of supply chain structure evolution in future, in this paper, we construct a spatial weighted complex network evolution model based on complex network theory and gravity model using the import and export data and distance data of countries from 1990 to 2022.Results and discussionSimulation results show that the possibility of establishing copper ore trade between countries follows the spatial weighted complex network evolution model. It is proportional to the expected trade flow between countries and inversely proportional to the distance. The model will support the simulation analysis of the supply chain network structure evolution and help to carry out in-depth research on the forecast of future trade relations between important countries.https://www.frontiersin.org/articles/10.3389/fphy.2025.1559799/fullspatial complex networkgravity modelcopper ore supply chainnetwork evolution patterndynamics simulation |
| spellingShingle | Qishen Chen Kun Wang Yanfei Zhang Qing Guan Jiayun Xing Tao Long Guodong Zheng Qiang Li Zhenqing Li Xin Ren Chenghong Shang Yueran Duan Simulation analysis on the evolution driven model of global copper ore trade network Frontiers in Physics spatial complex network gravity model copper ore supply chain network evolution pattern dynamics simulation |
| title | Simulation analysis on the evolution driven model of global copper ore trade network |
| title_full | Simulation analysis on the evolution driven model of global copper ore trade network |
| title_fullStr | Simulation analysis on the evolution driven model of global copper ore trade network |
| title_full_unstemmed | Simulation analysis on the evolution driven model of global copper ore trade network |
| title_short | Simulation analysis on the evolution driven model of global copper ore trade network |
| title_sort | simulation analysis on the evolution driven model of global copper ore trade network |
| topic | spatial complex network gravity model copper ore supply chain network evolution pattern dynamics simulation |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2025.1559799/full |
| work_keys_str_mv | AT qishenchen simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT kunwang simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT yanfeizhang simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT qingguan simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT jiayunxing simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT taolong simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT guodongzheng simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT qiangli simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT zhenqingli simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT xinren simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT chenghongshang simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork AT yueranduan simulationanalysisontheevolutiondrivenmodelofglobalcopperoretradenetwork |