Research on Risk Nodes of Live Broadcast E-Commerce Supply Chain Based on Complex Network
Authors
Jiaxin Liu1, Jinhong Wang2, *
1Liaoning Technical University, Liaoning, Huludao, 125000, China
2Liaoning Technical University, Liaoning, Fuxin, 123000, China
*Corresponding author.
Email: 626257905@qq.com
Corresponding Author
Jinhong Wang
Available Online 22 November 2024.
- DOI
- 10.2991/978-94-6463-570-6_40How to use a DOI?
- Keywords
- Live e-commerce; supply chain risk nodes; risk propagation; complex network theory
- Abstract
To prevent and reduce the occurrence and proliferation of live e-commerce supply chain risk events. Firstly, based on complex network theory, we construct a live e-commerce supply chain risk network model and analyze the overall network characteristics of the live e-commerce supply chain risk node network; secondly, we calculate the network risk node degree centrality and betweenness centrality, and carry out classification research on the nodes; finally, we calculate the network edge betweenness and find out the key connecting edges and point out the chain-breaking measures to avoid the further propagation of risks.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jiaxin Liu AU - Jinhong Wang PY - 2024 DA - 2024/11/22 TI - Research on Risk Nodes of Live Broadcast E-Commerce Supply Chain Based on Complex Network BT - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024) PB - Atlantis Press SP - 392 EP - 398 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-570-6_40 DO - 10.2991/978-94-6463-570-6_40 ID - Liu2024 ER -