Exploring network dynamics in scientific innovation: collaboration, knowledge combination, and innovative performance by Yangyang Jia, Hongshu Chen, Jingkang Liu, Xuefeng Wang, Rui Guo, Ximeng Wang

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Construction and optimization of the watershed-scale ecological network based on network characteristic analysis: A case study of the Lancang River Basin by Yi Wang, Xiaogang Zhou, Chang Ding, Wenxuan Li, Linyun Huang, Beichen Ge, Yuhong Song

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The interchange stations siting model of urban rail transit network by Jiaao Guo, Qinghuai Liang, Jiaqi Zhao

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Analyzing the complex properties of bank account transaction network by Fang LYU, Xinlin ZHANG, Wei WANG, Junheng HUANG, Bailing WANG

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Short startup, batteryless, self‐starting thermal energy harvesting chip working in full clock cycle by Arun Kumar Sinha, Marcio Cherem Schneider

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Three-three-three network architecture and learning optimization mechanism for B5G/6G by Jinkang ZHU, Mingyang CHAI, Wuyang ZHOU

Subjects: “…real-time dynamic optimization of complex network…”
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Influence of Dynamical Change of Edges on Clustering Coefficients by Yuhong Ruan, Anwei Li

“…Clustering coefficient is a very important measurement in complex networks, and it describes the average ratio between the actual existent edges and probable existent edges in the neighbor of one vertex in a complex network. …”
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A Comparative Analysis of the Predictive Abilities of Economic Complexity Metrics Using International Trade Network by Hao Liao, Alexandre Vidmer

“…The complex networks approach has proven to be an effective tool to understand and predict the evolution of a wide range of complex systems. …”
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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

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Minimal Doubly Resolving Sets of Some Classes of Convex Polytopes by Muhammad Ahmad, Dalal Alrowaili, Zohaib Zahid, Imran Siddique, Aiyared Iampan

“…Source localization is one of the most challenging problems in complex networks. Monitoring and controlling complex networks is of great interest for understanding different types of systems, such as biological, technological, and complex physical systems. …”
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Social Network Community Detection Using Agglomerative Spectral Clustering by Ulzii-Utas Narantsatsralt, Sanggil Kang

“…Community detection has become an increasingly popular tool for analyzing and researching complex networks. Many methods have been proposed for accurate community detection, and one of them is spectral clustering. …”
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Synchronization Analysis of Complex Dynamical Networks Subject to Delayed Impulsive Disturbances by Mingyue Li, Huanzhen Chen, Xiaodi Li

“…This paper studies the problem of leader-following synchronization for complex networks subject to delayed impulsive disturbances, where two kinds of time delays considered exist in internal complex networks and impulsive disturbances. …”
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Multi-scale Laplacian community detection in heterogeneous networks by Pablo Villegas, Andrea Gabrielli, Anna Poggialini, Tommaso Gili

“…Heterogeneous and complex networks represent intertwined interactions between real-world elements or agents. …”
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Two-stage community detection algorithm based on label propagation by Xueliang SUN, Wei WANG, Junheng HUANG, Guodong XIN, Bailing WANG

“…Community detection is an important research topic of complex network analysis.The detection results help to understand the community structure of complex networks and provide support for downstream tasks, such as content recommendation, link detection.Considering the challenge of community detection in complex networks, a two-stage community detection algorithm based on label propagation (TS-LPA) was proposed.The TS-LPA algorithm quantified the propagation capability of nodes based on the extended neighborhood.Then a new evaluation index was proposed to measure the probability of influence between nodes using the information of nodes and the weight of edges in the network.Based on the calculation of node centrality, the algorithm determined the updating sequence of node labels and the selection strategy of seed nodes, which eliminated the instability of the algorithm in the updating process.The TS-LPA algorithm used the breadth-first propagation idea and introduced the second-stage label propagation method to improve the quality of community detection.When label began to spread, all neighboring nodes had an influence on the label of the related node.Meanwhile, the influence of neighboring seed nodes was added to complete label updating, in order to reduce the dominance of neighboring nodes on the updated node.The experimental results of different real data sets and synthetic data sets show that TS-LPA algorithm can eliminate randomness and show strong stability while effectively improving the quality of community detection.…”
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Effects of the Awareness-Driven Individual Resource Allocation on the Epidemic Dynamics by Xiaolong Chen, Ruijie Wang, Dan Yang, Jiajun Xian, Qing Li

“…To this end, a resource-based epidemiological model and a self-awareness-based resource allocation model in complex networks are proposed, respectively. First of all, we study the coupled disease-awareness dynamics in complex networks with fixed degree heterogeneity. …”
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Policy translation and configuration using dynamic template by Yunchuan GUO, Ling LI, Yongjun LI, Lin CHENG, Jun DU, Lingcui ZHANG

“…To solve the problem of complex,cumbersome and error-prone configuration of security devices caused by the heterogeneous configuration modes in complex networks,a dynamic template-based scheme for translating and configuring policy was proposed.In detail,considering the code’s features,the code-based template for translating policies was constructed to configure the command line conversion,and the keyword comparison method was used to ensure the accuracy of policy configuration.Experiments show that the scalability and the accuracy of the proposed scheme.…”
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The Asymptotic Synchronization Analysis for Two Kinds of Complex Dynamical Networks by Ze Tang, Jianwen Feng

“…We consider a class of complex networks with both delayed and nondelayed coupling. …”
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Link Prediction in Complex Hyper-Networks Leveraging HyperCentrality by Y. V. Nandini, T. Jaya Lakshmi, Murali Krishna Enduri, Mohd Zairul Mazwan Jilani

“…In complex networks, predicting the formation of new connections, or links, within complex networks has been a central challenge, traditionally addressed using graph-based models. …”
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Two Complex Graph Operations and their Exact Formulations on Topological Properties by Shehla Hameed, Muhammad Kamran Jamil, Muhammad Waheed, Muhammad Azeem, Senesie Swaray

“…Graph operations are utilized for developing complicated graph structures from basic graphs, and these basic graphs can help to understand the properties of complex networks. While on the other side, the topological descriptor is known as a numeric value that is associated with the graph of a network. …”
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Statistical Analyses of a Class of Random Pentagonal Chain Networks with respect to Several Topological Properties by Jia-Bao Liu, Qing Xie, Jiao-Jiao Gu

“…There has been an upsurge of research on complex networks in recent years. The purpose of this paper is to study the mathematical properties of the random pentagonal chain networks PECn with the help of graph theory. …”
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