A Review of Supply Chain Resilience: A Network Modeling Perspective by Chuhan Ma, Lei Zhang, Liang You, Wenjie Tian

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Communication and Synchronization in Disconnected Networks with Dynamic Topology: Moving Neighborhood Networks by Joseph D. Skufca, Erik M. Bollt

Subjects: “…communication in complex networks.…”
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A Consensus Community-Based Spider Wasp Optimization for Dynamic Community Detection by Lin Yu, Xin Zhao, Ming Lv, Jie Zhang

Subjects: “…complex networks…”
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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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Analysis on IP-based density of Internet by XU Ye, ZHAO Hai, SU Wei-ji, ZHANG Wen-bo, ZHANG Xin, WANG Zu-wei

Subjects: “…complex networks…”
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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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Evolution of China’s Interprovincial Water Flow Network by Taozhen Huang, Yan Li, Qiaoliang Zhang

“…This paper establishes an interprovincial complex network of virtual water flows in China, based on the theory on complex network, which has rarely been adopted to study the virtual water transfer network. …”
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Research on influence spread of scientific research team based on scientific factor quantification of big data by Wenbin Zhao, Zhixian Yin, Tongrang Fan, Jishuang Luo

“…Many researches mainly adopt complex network to analyze, but these researches only consider some aspects of scientific research factors, so lack of comprehensive consideration. …”
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Multiscale Analysis of Mechanical Properties and Kinetic Processes in Dry Granular Flow by Ran Xu, Enlong Liu, Jianhe Li

“…The model leveraged complex network theory and the concept of granular temperature to capture the intricate interactions occurring at the mesoscale level. …”
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Knowledge Integration and Analysis of Technological Innovation in Prefabricated Construction by Yudan Dou, Xiaoxue Fu, Tianxin Li

“…It makes a meaningful contribution to knowledge management theory and complex network theory, advancing innovative applications in PC technology.…”
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Credit Card Fraud Detection through Parenclitic Network Analysis by Massimiliano Zanin, Miguel Romance, Santiago Moral, Regino Criado

“…In this paper we present a first hybrid data mining/complex network classification algorithm, able to detect illegal instances in a real card transaction data set. …”
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Novel adapting packet scheduling of TD-HSUPA by Fang-wei LI, Ke WANG, Jiang ZHU, Shan-xue CHEN

“…Adapting packet scheduling was presented.The scheme made it more flexible for packet scheduling in TDHSUPA.In the scheme,it used genetic algorithm to find more suitable weights in the background.System simulation results prove that this scheme does well in dealing with complex network environment.…”
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Multifractal Applications in Hydro-Climatology: A Comprehensive Review of Modern Methods by Shamseena Vahab, Adarsh Sankaran

“…Moreover, this study proposes a complex network-based fractal analysis (CNFA) framework for the multifractal analysis of daily streamflows as an alternative. …”
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A Century of Topological Coevolution of Complex Infrastructure Networks in an Alpine City by Jonatan Zischg, Christopher Klinkhamer, Xianyuan Zhan, P. Suresh C. Rao, Robert Sitzenfrei

“…In this paper, we used complex network analysis approaches to investigate topological coevolution over a century for three different urban infrastructure networks. …”
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Bottom-Up Abstract Modelling of Optical Networks-on-Chip: From Physical to Architectural Layer by Alberto Parini, Luca Ramini, Fabio Lanzoni, Gaetano Bellanca, Davide Bertozzi

“…In this procedure, a complex network is decomposed into elementary switching elements whose input-output behavior is described by means of scattering parameters models. …”
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Urban Rail Transit System Network Reliability Analysis Based on a Coupled Map Lattice Model by Shaojie Wu, Yan Zhu, Ning Li, Yizeng Wang, Xingju Wang, Daniel Jian Sun

“…During the last twenty years, the complex network modeling approach has been introduced to assess the reliability of rail transit networks, in which the dynamic performance involving passenger flows have attracted more attentions during operation stages recently. …”
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Personalized lightweight distributed network intrusion detection system in fog computing by Tianpeng YE, Xiang LIN, Jianhua LI, Xuankai ZHANG, Liwen XU

“…With the continuous development of Internet of Things (IoT) technology, there is a constant emergency of new IoT applications with low latency, high dynamics, and large bandwidth requirements.This has led to the widespread aggregation of massive devices and information at the network edge, promoting the emergence and deep development of fog computing architecture.However, with the widespread and in-depth application of fog computing architecture, the distributed network security architecture deployed to ensure its security is facing critical challenges brought by fog computing itself, such as the limitations of fog computing node computing and network communication resources, and the high dynamics of fog computing applications, which limit the edge deployment of complex network intrusion detection algorithms.To effectively solve the above problems, a personalized lightweight distributed network intrusion detection system (PLD-NIDS) was proposed based on the fog computing architecture.A large-scale complex network flow intrusion detection model was trained based on the convolutional neural network architecture, and furthermore the network traffic type distribution of each fog computing node was collected.The personalized model distillation algorithm and the weighted first-order Taylor approximation pruning algorithm were proposed to quickly compress the complex model, breaking through the limitation of traditional model compression algorithms that can only provide single compressed models for edge node deployment due to the high compression calculation overhead when facing a large number of personalized nodes.According to experimental results, the proposed PLD-NIDS architecture can achieve fast personalized compression of edge intrusion detection models.Compared with traditional model pruning algorithms, the proposed architecture achieves a good balance between computational loss and model accuracy.In terms of model accuracy, the proposed weighted first-order Taylor approximation pruning algorithm can achieve about 4% model compression ratio improvement under the same 0.2% model accuracy loss condition compared with the traditional first-order Taylor approximation pruning algorithm.…”
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The Traffic Capacity Variation of Urban Road Network due to the Policy of Unblocking Community by Xin Feng, Yue Zhang, Shuo Qian, Liming Sun

“…Stage two consists of constructing a global capacity model based on multilayer complex network coupling from the perspective of complex global dynamics. …”
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Architecture and Solution of Lightweight TURN for C2C Communication by Aijun Wang, Bing Liu

“…An architecture and solution of lightweight TURN（TURN-Lite） which was suitable for C2C communication scenarios in complex network environment was described. It could simplify the communication processes used by current TURN solution and made full use of the data conversion and transfer capability of distributed data transfer devices（such as CGN/CDN）which had already deployed in current network, opened up network capabilities and provided efficient data transfer services for C2C communication applications developers.…”
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Comidas del Zopilote by Dominique Raby

“…Using the “multispecies ethnography” perspective, the author underlines how the relations between human beings and the vulture are connected to food and empathy, and how the bird, as cleaner of the world, is involved in the complex network of relations framed by the basic Nahua concepts of working, feeding and loving. …”
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