supported by the Anhui Province University Collaborative Innovation Project(No.GXXT-2022-091);the National Natural Science Foundation of China(No.62006003);the Natural Science Foundation of Anhui Province(No.2208085QF197);the Key Project of Nature Science Research for Universities of Anhui Province of China(Nos.2022AH040019 and 2022AH05008637);the Hefei Key Common Technology Project(No.GJ2022GX15).
Recent years have seen growing demand for the use of edge computing to achieve the full potential of the Internet of Things(IoTs),given that various IoT systems have been generating big data to facilitate modern laten...
the National Natural Science Foundation of China(Grant Nos.71771186,71631001,and 72071153);the Natural Science Foundation of Shaanxi Province,China(Grant Nos.2020JM-486 and 2020JM-486).
We explore the robustness of a network against failures of vertices or edges where a fraction of vertices is removed and an overload model based on betweenness is constructed.It is assumed that the load and capacity o...
the National Natural Science Foundation of China(61873057);the Education Department of Jilin Province(JJKH20200118KJ).
This study considers the performance impacts of false data injection attacks on the cascading failures of a power cyber-physical system,and identifies vulnerable nodes.First,considering the monitoring and control func...
This research uses random networks as benchmarks for inferential tests of network structures. Specifically, we develop formulas for expected values and confidence intervals for four frequently employed social network ...
We present an energy-based method to estimate centrality in electrical networks. Here the energy between a pair of vertices denotes by the effective resistance between them. If there is only one generation and one loa...
This paper explores traffic dynamics and performance of complex networks. Complex networks of various structures are studied. We use node betweenness centrality, network polarization, and average path length to captur...
supported by the National Science Foundation for Distinguished Young Scholars of China(Grant Nos.61003082 and 60903059);the National Natural Science Foundation of China(Grant No.60873014);the Foundation for Innovative Research Groups of the National Natural Science Foundation of China(Grant No.60921062)
Many real-world networks are found to be scale-free. However, graph partition technology, as a technology capable of parallel computing, performs poorly when scale-free graphs are provided. The reason for this is that...
Project supported by the National Natural Science Foundation of China (No. 60804045);the Zhejiang Provincial Natural Science Foundation of China (No. Y1110229)
An adaptive predictive pinning control is proposed to suppress the cascade in coupled map lattices (CMLs).Two monitoring strategies are applied:(1) A specific fraction of nodes with the highest degree or betweenness a...