Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China by Qing Yang, Hui Zhou, Xingxing Liu, Chen Zuo, Jinmei Wang

“…Through rule-based text mining and complex network analysis, the Entity Relationship (ER) network of MSW-NIMBY crisis is reconstructed. …”
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Temporal link prediction method based on community multi-features fusion and embedded representation by Yuhang ZHU, Lixin JI, Yingle LI, Haitao LI, Shuxin LIU

“…Dynamic networks integrates time attributes on the basis of static networks, and it contains multiple connotations such as the complexity and dynamics of the network structure.It is a better thinking object for studying complex network link prediction problems in the real world.Its high application value has attracted much attention in recent years.However, most of the research objects of traditional methods are still limited to static networks, and there are problems such as insufficient utilization of network time-domain evolution information and high time complexity.Combining sociological theory, a novel temporal link prediction method was proposed based on community multi-feature fusion embedding representation.The core idea of this method was to analyze the dynamic evolution characteristics of the network, learn the embedded representation vector of nodes within the community, and effectively fuse multiple features to measure the generation probability of the connection between nodes.The network was divided into several subgraphs by using community detection with collective influence weights and the Similarity index was proposed based on the collective influence.Then, the biased random walk and the Skip-gram were used to get the embedded vectors for every node and the Similarity index was proposed based on the random walk within the community.Integrating the collective influence, multiple central features of the community, and the representation vector learned within the community, the Similarity index was proposed based on the multi-features fusion.Compared with classical temporal link prediction methods, including moving average methods, embedded representation methods, and graph neural network methods, experimental results on six real data sets show that the proposed methods based on the random walk within the community and the multi-features fusion both achieve better prediction performance under the evaluation criteria of AUC.…”
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Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system by Ru Huang, Xiaoli Chu, Jie Zhang, Yu Hen Hu

“…This article presents a wireless sensor networks topology optimization model based on complex network theory and cyber-physical systems using software-defined wireless sensor network architecture. …”
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Analysis on Quantified Self-Behavior of Customers in Food Consumption under the Perspective of Social Networks by Lei Lei, Yaling Zhu, Qiang Liu

“…In view of the above understanding, this study uses experimental design and field survey to obtain data, uses Heckman two-step method and PLS path modeling method to analyze the impact of consumers’ quantified self-behavior on their health food consumption, and discusses the moderating role of social networks based on the perspective of complex network. The results show that (1) consumers’ health awareness can promote their choice of quantified self-behavior, (2) consumers’ quantified self-behavior is helpful to promote their purchase intention and purchase scale of healthy food, and (3) social networks play a positive moderating role in consumers’ quantified self-influence on their healthy food consumption. …”
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FWA-SVM Network Intrusion Identification Technology for Network Security by Yaohui Zhang

“…The effectiveness of traditional network intrusion is limited in the face of complex network attacks and constantly increasing data volume. …”
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A Unified Bayesian Model for Generalized Community Detection in Attribute Networks by Qiang Tian, Wenjun Wang, Yingjie Xie, Huaming Wu, Pengfei Jiao, Lin Pan

“…Identification of community structures and the underlying semantic characteristics of communities are essential tasks in complex network analysis. However, most methods proposed so far are typically only applicable to assortative community structures, that is, more links within communities and fewer links between different communities, which ignore the rich diversity of community regularities in real networks. …”
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Towards Smart and Resilient City Networks: Assessing the Network Structure and Resilience in Chengdu–Chongqing Smart Urban Agglomeration by Rui Li, Yuhang Wang, Zhiyue Zhang, Yi Lu

“…The mobility and openness of smart cities characterize them as particularly complex networks, necessitating the resilience enhancement of smart city regions from a network structure perspective. …”
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The Pivotal Immunomodulatory and Anti-Inflammatory Effect of Histone-Lysine N-Methyltransferase in the Glioma Microenvironment: Its Biomarker and Therapy Potentials by Seidu A. Richard, Kuugbee D. Eugene

“…The glioma microenvironment is a dynamic component that comprises, besides glioma cells and glioma stem cells, a complex network that comprises diverse cell types like endothelial cells, astrocytes, and microglia as well as stromal components, soluble factors, and the extracellular membrane. …”
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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. …”
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Differentially Private Clustered Federated Load Prediction Based on the Louvain Algorithm by Tingzhe Pan, Jue Hou, Xin Jin, Chao Li, Xinlei Cai, Xiaodong Zhou

“…First, the similarity of user load patterns is calculated under privacy protection. Second, a complex network is constructed, and a federated user clustering method is developed based on the Louvain algorithm, which divides users into multiple clusters based on load pattern similarity. …”
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Influence maximization under imbalanced heterogeneous networks via lightweight reinforcement learning with prior knowledge by Kehong You, Sanyang Liu, Yiguang Bai

“…Abstract Influence Maximization (IM) stands as a central challenge within the domain of complex network analysis, with the primary objective of identifying an optimal seed set of a predetermined size that maximizes the reach of influence propagation. …”
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Military neutrality and cooperation as instruments for achieving the national interest of the Republic of Serbia by Ćurčić Milica, Dinić Jelena

“…Formulating responsible national security policy as the ultimate goal implies a coherent approach in analyzing the complex network of relationships among actors on the international political stage and a profound understanding of the implications of these processes on realizing the national interests of Serbia.…”
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Cross Layer Optimization and Simulation of Smart Grid Home Area Network by Lipi K. Chhaya, Paawan Sharma, Adesh Kumar, Govind Bhagwatikar

“…Smart Grid is characterized by bidirectional flow of electricity and information. Smart Grid is a complex network with hierarchical architecture. Realization of complete Smart Grid architecture necessitates diverse set of communication standards and protocols. …”
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Emergent patterns in global health diplomacy: a network analysis of the resolutions adopted by the World Health Assembly from 1948 to 2022 by Kelley Lee, Didier Wernli, Nicolas Levrat, Bastien Chopard, Jean-Luc Falcone, Stephan Davidshofer

“…The findings show that WHA resolutions constitute a complex network of interconnected global health issues. …”
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A review of vitamin D deficiency and vitamin D receptor polymorphisms in endocrine-related disorders by Nur Faten Hafizah Rosli, Noor Shafina Mohd Nor, Rose Adzrianee Adnan, Siti Hamimah Sheikh Abdul Kadir

“…The endocrine system is a complex network of glands that produce and release hormones that regulate various physiological processes. …”
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Bearing characteristics and continuous–discontinuous numerical analysis of a pressure grouting pile in a calcareous sand foundation by Qifen Cheng, Jianlin Li, Jie Liu, Shifu Qin, Tongqiang Xiong, Ge Zhang

“…The force transfer laws in calcareous sand foundations are analyzed using complex network theory. The results show that the ultimate bearing capacity of pressure grouting piles increases significantly with increasing pile diameter. …”
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Differential Magnetometer Measurements of Geomagnetically Induced Currents in a Complex High Voltage Network by J. Hübert, C. D. Beggan, G. S. Richardson, T. Martyn, A. W. P. Thomson

“…We find that the measured line and earth GICs match the expected GICs from our network model, confirming that detailed knowledge of the complex network topology and its resistance parameters is essential for accurately computing GICs.…”
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The Intertemporal Evolution Model of Enterprise R&D Cooperative Network by Rongguo Qiu, Yutong Wang, Tingqiang Chen

“…Innovation cooperation among enterprises forms a complex network of enterprise R&D. Given the intertemporal R&D network evolution and the complex influence between stock knowledge, this study constructs a discrete indefinitely intertemporal evolution model of an enterprise R&D cooperation network. …”
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Study on Connectivity Mechanism and Robustness of Three-Dimensional Pore Network of Sandstone by Guannan Liu, Xiaopeng Pei, Dayu Ye, Feng Gao, Zongqing Zhou, Chenglu Gao

“…In this paper, based on the complex network theory and CT scanning technology, sandstone is used as an example to study the structural characteristics of the rock network with different porosities. …”
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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

“…IntroductionTraditional Graph Pattern Matching (GPM) research mainly focuses on improving the accuracy and efficiency of complex network analysis and fast subgraph retrieval. …”
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