Importance Analysis of Causative Nodes for Accident Chains of Railway Locomotive Operation Based on STPA-PageRank Method by Ping WAN, Wei-Lun YANG, Jie-Wen LUO, Xiao-Feng MA

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Analysis of the Impact of the Russia–Ukraine Conflict on Global Liquefied Natural Gas Shipping Network by Ranxuan Ke, Xiaoran Wang, Peng Peng

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Chinese IP-level network topology measurement and analysis by ZHANG Yu, FANG Bin-xing, ZHANG Hong-li

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Neural network-based link prediction algorithm by Yonghao PAN, Hongtao YU, Shuxin LIU

Subjects: “…complex network…”
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Instruction flow mining algorithm based on the temporal sequence of node communication actions by Yingzhuo XIANG, Zhengguo XU, Ling YOU

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Vulnerability Assessment of Urban Rail Transit Network—A Case Study of Chongqing by Lan Xu, Pengcheng Xiang, Yan Qian, Simai Yang, Tao Zhou, Feng Wang

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Evolution characteristics and invulnerability simulation analysis of global zirconium ore trade network by Fanjie Luo, Wei Liu, Mao Xu, Qunyi Liu, Junbo Wang

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Identifying Key Bus Stations Based on Complex Network Theory considering the Hybrid Influence and Passenger Flow: A Case Study of Beijing, China by Jianlin Jia, Yanyan Chen, Ning Chen, Hui Yao, Yongxing Li, Zhuo Liu

“…The results show that the new method can rank the influence of bus stations more accurately and more efficiently than other complex network methods such as degree, H-index, and betweenness. …”
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Finite-Time Synchronization and Synchronization Dynamics Analysis for Two Classes of Markovian Switching Multiweighted Complex Networks from Synchronization Control Rule Viewpoint by Bin Yang, Xin Wang, Yongju Zhang, Yuhua Xu, Wuneng Zhou

“…This paper is mainly concerned with how nonlinear coupled one impacts synchronization dynamics of a class of nonlinear coupled Markovian switching multiweighted complex networks (NCMSMWCNs). Firstly, sufficient conditions of finite-time synchronization for a class of NCMSMWCNs and a class of linear coupled Markovian switching multiweighted complex networks (LCMSMWCNs) are investigated. …”
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Computer-Assisted Quantitative Analysis of Skeletal Muscles of Snowboarding Parallel Giant Slalom Athletes after Exercise Based on Artificial Intelligence and Complex Networks by Haiqiang Yu, Fei Yang, Jin Wang

“…This article is aimed at performing ultrasonic quantitative analysis on the skeletal muscles of skiers after exercise based on artificial intelligence and complex networks and at studying the skeletal muscle conditions of snowboarders after exercise, so as to provide a certain theoretical basis for coaches in future scientific training. …”
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Spatial Characteristics and Connectivity of Urban Floods in Eastern China: Insights From a Newly Established Data Set During 2010–2020 by Zhenghui Lu, Linhao Zhong, Yang Yang, Xinlei Han, Xiaoling Jiang, Zitong Shi, Dabang Jiang

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Abnormal link detection algorithm based on semi-local structure by Haoran SHI, Lixin JI, Shuxin LIU, Gengrun WANG

Subjects: “…complex network…”
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Teleconnections detection of land use carbon emissions beyond geographical proximity promotes the construction of cross-city networks by Lei Shen, Yinghong Jiang, Duanqiang Zhai, Peng Wang

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Resource elements of the national blue economic system and their development mechanisms: a case study of China by Xiaofei Qi

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Topology control based on dynamic graph embedding in Internet of vehicles by Yanfei SUN, Jiazheng YIN, Jin QI, Xiaoxuan HU, Mengting CHEN, Zhenjiang DONG

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Spatial Characteristics of Carbon Emission Networks in Selected Urbans within Pearl River Basin Area by YIN Jian, GAO Jielin, ZHANG Bin

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Structural properties and static robustness of Linux software network by Ershen WANG, Yu LI, Chen HONG, Qinghua SUN, Chang LIU

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Synthetic graphs for link prediction benchmarking by Alexey Vlaskin, Eduardo G Altmann

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Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks by José Carlos M Silva, Diogo H Silva, Francisco A Rodrigues, Silvio C Ferreira

Subjects: “…complex networks…”
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Link prediction method based on the similarity of high path by Qiuyang GU, Bao WU, Renyong CHI

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