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Complex Systems and Complexity Science  2024, Vol. 21 Issue (4): 28-33    DOI: 10.13306/j.1672-3813.2024.04.005
Complex Network Current Issue | Archive | Adv Search |
Nodes-set Mining of Express Logistics Network Based on the Key Player Problem-positive Model
WU Qitao1, LI Yuanting1,2, WU Hailing1,3, YANG Yunhao1,2, WU Junqiang4
1. Guangzhou Institute of Geography, Guangdong Academy of Sciences, Guangzhou 510070, China;
2. School of Geosciences, South China Normal University, Guangzhou 510631, China;
3. Guangdong University of Technology, Guangzhou 510090, China;
4. Nationalchip(Guangzhou), Inc, Guangzhou 510700, China
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Abstract  Aiming at the problem of nodes-set mining in express logistics network, this paper constructs DW-KPP-Pos (Directed Weighted-Key Players Problem-Positive) model based on KPP-Pos (Key Player Problem-Positive) and designs a heuristic algorithm to improve the efficiency of the model. The empirical analysis of China’s urban express logistics network shows that: The DW-KPP-Pos model with heuristic algorithm can efficiently mine “Maximum spread seeds group” in express logistics network. Including Shanghai, Chongqing, Guangzhou, Beijing, Jinhua and Hong Kong; The comparison of measurement results suggest that the propagation efficiency of nodes-set K mined by DW-KPP-Pos model is 0.59%, 0.88% and 6.19% higher than that of degree nodes-set Kdeg, PageRank nodes-set Kpag and betweenness centrality nodes-set Kbet respectively. In this paper, a new method of nodes-set mining considering maximum spread effect is proposed, which can provide technical support for the layout of express logistics infrastructure.
Key wordscomplex network      nodes-set mining method      DW-KPP-Pos model      express logistics      heuristic algorithm     
Received: 29 May 2023      Published: 03 January 2025
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WU Qitao
LI Yuanting
WU Hailing
YANG Yunhao
WU Junqiang
Cite this article:   
WU Qitao,LI Yuanting,WU Hailing, et al. Nodes-set Mining of Express Logistics Network Based on the Key Player Problem-positive Model[J]. Complex Systems and Complexity Science, 2024, 21(4): 28-33.
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https://fzkx.qdu.edu.cn/EN/10.13306/j.1672-3813.2024.04.005     OR     https://fzkx.qdu.edu.cn/EN/Y2024/V21/I4/28