Dynamic Community in static social networks using the gray wolf optimizer algorithm by Fatemeh Besharatnia, Alireza Talebpur, Sadegh Aliakbari

“…Identifying communities in complex networks is an important issues in social network analysis, and it helps researchers understand the function and display of network structures. …”
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Vertex Coloring and Eulerian and Hamiltonian Paths of Delaunay Graphs Associated with Sensor Networks by Manuel Ceballos, María Millán

“…Sensor networks represent distributed systems of interconnected devices that collect and transmit data, while graph theory provides a robust framework for modeling and analyzing complex networks. Specifically, we focus on vertex coloring, Eulerian paths, and Hamiltonian paths within the Delaunay graph associated with a sensor network. …”
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Knowledge Flow Dynamics in Organizations: A Stochastic Multi-Scale Analysis of Learning Barriers by Jih-Jeng Huang, Chin-Yi Chen

“…Organizations face fundamental challenges in managing knowledge flows across complex networks, yet existing frameworks often lack quantitative tools for optimization. …”
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Invulnerability of small-world network against cascading failure based on nonlinear load-capacity model by Xiao-ping WU, Jia-sheng WANG, Yan-lin QIN, Qing YE

“…Research findings will provide useful guidance and reference in the optimization design of invulnerability for real complex networks.…”
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A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection by Jing Liu, Junfang Guo, Qi Li

“…Community structure is one of the most important characteristics of complex networks, which has important applications in sociology, biology, and computer science. …”
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A Hybrid Seed Node Selection and No-Retracing Random Walk in Page Rank Algorithm by Azam Bastanfard, Ali Kheradbeygi Moghadam, Ali Fallahi RahmatAbadi

“…The random walk technique, which has a reputation for excellent performance, is one method for complex networks sampling. However, reducing the input data size is still a considerable topic to increase the efficiency and speed of this algorithm. …”
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Spatial-temporal analysis of the international trade network by Donghai Liu, Ziwen Yang, Kun Qin, Kai Li

“…A multilevel scenario construction theory for complex networks is proposed, highlighting the great significance of spatial regression models and system dynamics models in identifying global mechanisms; the unique value of temporal network analysis under the support of time-series information is discussed. …”
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Single-Valued Neutro Hyper BCK-Subalgebras by M. Hamidi, F. Smarandache

“…We find a method that can apply these concepts in some complex networks.…”
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The Spreading of Information in Online Social Networks through Cellular Automata by Yuda Wang, Gang Li

“…Epidemic dynamics in complex networks have been extensively studied. Due to the similarity between information and disease spreading, most studies on information dynamics use epidemic models and merely consider the characteristics of online social networks and individual’s cognitive. …”
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Development of Deep Convolutional Neural Network with Adaptive Batch Normalization Algorithm for Bearing Fault Diagnosis by Chao Fu, Qing Lv, Hsiung-Cheng Lin

“…In this paper, a CNN integrated with the adaptive batch normalization (ABN) algorithm (ABN-CNN) is developed to avoid high computing resource requirements of such complex networks. It uses a large-scale convolution kernel at the grassroots level and a multidimensional 3 × 1 small convolution nuclear. …”
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A fluid flow model for the software defined wide area networks analysis by Karol Marszałek, Adam Domański

“…This paper proposes an extension to the Fluid Flow analysis model for complex networks. This modification allows for the simulation of various networking topologies and can be used to test novel routing and active queue management algorithms in more detail. …”
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Identification of Key Factors and Mining of Association Relations in Complex Product Assembly Process by Huibin Zhang, Mingwei Wang, Wei Deng, Jingtao Zhou, Lei Liu, Jianfeng Li, Rong Li

“…This paper establishes the set of assembly performance influencing factors by analyzing the complex product assembly process and uses complex networks combined with entropy weight method to identify the influencing factors of product performance to achieve the identification of key influencing factors. …”
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Link Prediction via Convex Nonnegative Matrix Factorization on Multiscale Blocks by Enming Dong, Jianping Li, Zheng Xie

“…Different from the original low rank matrices approximations methods for link prediction, the sparseness of solutions is in accord with the sparse property for most real complex networks. Scaling to massive size network, we use the block information mapping matrices onto distributed architectures and give a divide-and-conquer prediction method. …”
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Component Importance Measure Computation Method Based Fuzzy Integral with Its Application by Shuai Lin, Yanhui Wang, Limin Jia, Yang Li

“…In view of the negative impact of component importance measures based on system reliability theory and centrality measures based on complex networks theory, there is an attempt to provide improved centrality measures (ICMs) construction method with fuzzy integral for measuring the importance of components in electromechanical systems in this paper. …”
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Predicting Missing Links Based on a New Triangle Structure by Shenshen Bai, Longjie Li, Jianjun Cheng, Shijin Xu, Xiaoyun Chen

“…With the rapid growth of various complex networks, link prediction has become increasingly important because it can discover the missing information and predict future interactions between nodes in a network. …”
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Communities Detection in Multiplex Networks Using Optimization: Study Case—Employment in Mexico during the COVID-19 Pandemic by Edwin Montes-Orozco, Roman Anselmo Mora-Gutiérrez, Sergio Gerardo De-Los-Cobos-Silva, Roberto Bernal-Jaquez, Eric Alfredo Rincón-García, Miguel Angel Gutiérrez-Andrade, Pedro Lara-Velázquez

“…The detection of communities in complex networks offers important information about the structure of the network as well as its dynamics. …”
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Resilience of Core-Periphery Networks in the Case of Rich-Club by Matteo Cinelli, Giovanna Ferraro, Antonio Iovanella

“…These two procedures of core and periphery thickening delineate a decision process in the placement of new links and allow us to conduct a scenario analysis that can be helpful in the comprehension and supervision of complex networks under the resilience perspective. The advantages of the two procedures, as well as their implications, are discussed in relation to both network efficiency and node heterogeneity.…”
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Adaptive Conflict-Free Optimization of Rule Sets for Network Security Packet Filtering Devices by Andrea Baiocchi, Gianluca Maiolini, Annachiara Mingo, Daniele Goretti

“…Packet filtering and processing rules management in firewalls and security gateways has become commonplace in increasingly complex networks. On one side there is a need to maintain the logic of high level policies, which requires administrators to implement and update a large amount of filtering rules while keeping them conflict-free, that is, avoiding security inconsistencies. …”
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Identifying vital spreaders in large-scale networks based on neighbor multilayer contributions by Weiwei Zhu, Xuchen Meng, Jiaye Sheng, Dayong Zhang

“…IntroductionIdentifying influential spreaders in complex networks is crucial for understanding information propagation and disease immunity. …”
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The Robustness of White Matter Brain Networks Decreases with Aging by Chenye Huang, Xie Wang, Daojun Xie

“…The impairment of WM integrity is closely associated with the aging process, manifesting as the reorganization of brain networks based on graph theoretical analysis of complex networks and increased volume of white matter hyperintensities (WMHs) in imaging studies. …”
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