The influence of copper trade relation structure on copper price: From the perspective of industrial chain

Y Li, H An, X Gao, S Liu, Q Sun, Y Zhao - Resources, Conservation and …, 2023 - Elsevier
Trade is an important approach to coordinating the global allocation of copper. Under the
changeable international situation, the volatile relation between trading nations plays an …

Quantifying the status of economies in international crop trade networks: A correlation structure analysis of various node-ranking metrics

YT Zhang, WX Zhou - Chaos, Solitons & Fractals, 2023 - Elsevier
International food trade is a growing complement to gaps in domestic food supply and
demand, but it is vulnerable to disruptions due to some unforeseen shocks. This paper …

Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning

D Chen, J Zhang, Y Lv, J Wang, H Ni… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Graph neural networks (GNNs) have achieved remarkable success in various real-world
applications. However, recent studies highlight the vulnerability of GNNs to malicious …

Information cocoons in online navigation

L Hou, X Pan, K Liu, Z Yang, J Liu, T Zhou - Iscience, 2023 - cell.com
Social media and online navigation bring us enjoyable experiences in accessing
information, and simultaneously create information cocoons (ICs) in which we are …

A graph-based approach for integrating massive data in container terminals with application to scheduling problem

S Liu, W Wang, S Zhong, Y Peng, Q Tian… - … Journal of Production …, 2024 - Taylor & Francis
The deployment of the Industrial Internet of Things (IIoT) in smart container terminals
provides a foundation for sensing and recording all operational processes. However, little …

Identifying influential nodes on directed networks

YL Lee, YF Wen, WB Xie, L Pan, Y Du, T Zhou - Information Sciences, 2024 - Elsevier
Identifying influential nodes on directed networks is a challenging and widely studied task
that keeps drawing extensive attention from both academia and industry. The simultaneous …

Excavating important nodes in complex networks based on the heat conduction model

H Hu, J Zheng, W Hu, F Wang, G Wang, J Zhao… - Scientific Reports, 2024 - nature.com
Analyzing the important nodes of complex systems by complex network theory can
effectively solve the scientific bottlenecks in various aspects of these systems, and how to …

Effect of network structure on the accuracy of resilience dimension reduction

M Liu, Q Guo, J Liu - Frontiers in Physics, 2024 - frontiersin.org
Dimension reduction is an effective method for system's resilience analysis. In this paper, we
investigate the effect of network structure on the accuracy of resilience dimension reduction …

Advanced progress of network resilience

M Liu, Q Guo, J Liu - Europhysics Letters, 2024 - iopscience.iop.org
Network resilience measures complex systems' ability to adjust its activity to retain the basic
functionality for systematic errors or failures, which has attracted increasingly attention from …

Rank-Refining Seed Selection Methods for Budget Constrained Influence Maximisation in Multilayer Networks under Linear Threshold Model

M Czuba, P Bródka - arXiv preprint arXiv:2405.18059, 2024 - arxiv.org
The problem of selecting an optimal seed set to maximise influence in networks has been a
subject of intense research in recent years. However, despite numerous works addressing …