Atrial Fibrillation Detection by the Combination of Recurrence Complex Network and Convolution Neural Network by Xiaoling Wei, Jimin Li, Chenghao Zhang, Ming Liu, Peng Xiong, Xin Yuan, Yifei Li, Feng Lin, Xiuling Liu

“…Firstly, the synchronization feature of each heartbeat of the electrocardiogram signal is constructed by a Recurrence Complex Network. Then, a convolution neural network is used to detect atrial fibrillation by analyzing the eigenvalues of the Recurrence Complex Network. …”
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Structure Characteristics of the International Stock Market Complex Network in the Perspective of Whole and Part by Guangxi Cao, Yingying Shi, Qingchen Li

“…International stock market forms an abstract complex network through the fluctuation correlation of stock price index. …”
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Scare Behavior Diffusion Model of Health Food Safety Based on Complex Network by Jun Luo, Jiepeng Wang, Yongle Zhao, Tingqiang Chen

“…This study constructs a heterogeneous model of health food safety scare behavior diffusion through a complex network model by considering health food safety information transparency and health food consumers’ ability to process information. …”
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Dynamic trust model based on recommendation chain classification in complex network environment by Lin ZHANG, Huan XING, Ru-chuan WANG, Chao-jie WU

“…According to the recommendation information processing problem in complex network environment,a trust model based on the recommendation chain classification was proposed.The classification method was based on honesty attribute of nodes,which could choose an effective recommendation chain on the basis of practical experience data.The recommendation information dissemination parameters were based on the information gain,which made recommendation information be more accurate.The factor of time was also considered in this model.The ability of interaction and the one of honesty were distinguished clearly.The concept of information entropy in information theory was used in the final ag-gregation calculation of direct trust and recommendation trust,which could get rid of the ambiguity of the previous sub-jective parameter settings.The main polymerization parameters could be continuously corrected with the interactions in order to achieve the situation being closest to the reality.Simulation results show the validity of recommendation chain classification and the rationality of the parameter settings in the proposed model.…”
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Design of nodes importance assessment method for complex network based on neighborhood information by Xing LI, Jie ZHAN, Baoquan REN, Siqi ZHU

Subjects: “…complex network…”
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Partial-Information-Based Synchronization of Complex Networks with Multiple and Event-Triggered Couplings by Chi Huang, Yuning Xiong, Wei Wang

“…We study the synchronization of complex networks by using event-sampling information. The nodes of the network are connected with event-triggered communication via multiple couplings. …”
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Unit Disk Graph-Based Node Similarity Index for Complex Network Analysis by Natarajan Meghanathan

“…We seek to quantify the extent of similarity among nodes in a complex network with respect to two or more node-level metrics (like centrality metrics). …”
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A Seed-Expanding Method Based on TOPSIS for Community Detection in Complex Networks by Jianjun Cheng, Wenbo Zhang, Haijuan Yang, Xing Su, Tao Ma, Xiaoyun Chen

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Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm. by Lang Chai, Rui Huang

“…Link prediction in heterogeneous networks is an active research topic in the field of complex network science. Recognizing the limitations of existing methods, which often overlook the varying contributions of different local structures within these networks, this study introduces a novel algorithm named SW-Metapath2vec. …”
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Modeling and Simulation of Project Management through the PMBOK® Standard Using Complex Networks by Luz Stella Cardona-Meza, Gerard Olivar-Tost

“…In this study, through a complex network, the dynamic structure of a project and its trajectories are simulated using inference processes. …”
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Complex Network of Scientific Talent Migration in Discrete Dynamics from 2001 to 2013 by Yinqiu Wang, Hui Luo, Yunyan Shi

“…The relationship between complex network and international talent migration is introduced. …”
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Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm by Lang Chai, Rui Huang

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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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Exploring the evolution of global beef trade network patterns based on complex network analysis by Qianqian Wang, Wangfang Xu, Rongzhu Cheng

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Key node identification algorithm for complex network based on improved grey wolf optimization by Qiuyang GU, Bao WU, Zhaoyang SUN, Renyong CHI

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Comprehensive influence evaluation algorithm of complex network nodes based on global-local attributes by Weijin JIANG, Ying YANG, Tiantian LUO, Wenying ZHOU, En LI, Xiaowei ZHANG

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Finite-Time Pinning Synchronization Control for Coupled Complex Networks with Time-Varying Delays by Hebing Zhang, Xiaojing Zheng, Ning Li

“…This approach can be applied to large-scale complex networks with time-varying delays.…”
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Advanced Data Delivery Strategy Based on Multiperceived Community with IoT in Social Complex Networks by Jingwen Luo, Jia Wu, Yuzhou Wu

“…With the advent of 5G communication standards, the number of 5G base stations increases steadily, and the number of mobile terminals and IoT (Internet of Things) devices increases sharply, which sharps a large number of IoT devices and forms a complex network. These devices can take as nodes of a community in the opportunistic social network. …”
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Research on the Vulnerability of Government Procurement of Elderly Care Services: A Complex Network Perspective by Yuting Zhang, Lan Xu, Zhengnan Lu

“…Then, complex network diagram of vulnerability influencing factors is constructed through Pajek software. …”
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Flood Risk Assessment for Zengcheng District of Guangzhou City Based on Complex Network Models by LI Bowen, ZHANG Yin, YANG Fang, ZHAO Hongjun

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