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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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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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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Cross-Border Printing Privileges in the Seventeenth-Century Low Countries by Nina Lamal

“…Rather than seeing these cross-border privileges solely as a way for printers to expand the reach and commercial viability of their published works, this article demonstrates that, by securing privileges from multiple authorities, printers showed they were able to navigate the market for institutions and complex networks of power. By analysing diplomatic correspondence alongside privilege requests, I demonstrate the crucial role of ambassadors in favouring certain printers and their project. …”
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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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Social Network Community-Discovery Algorithm Based on a Balance Factor by Lizhao Liu, Xiaomei Shu, Biao Cai

“…In recent years, the application of clustering algorithms in the community-discovery tasks of complex networks has been studied frequently. In this study, we proposed a balance factor of node density and node-degree centrality for the core-node selection problem in community discovery. …”
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The Optimization Model of E-Commerce Logistics Distribution Path Based on GIS Technology by Jianhong Jiao, Yong Liu, Cuijie Xie

“…Firstly, ArcGIS software is used to solve the problem of complex networks and realize the selection and output of optional routes. …”
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Theory and Application of Interval-Valued Neutrosophic Line Graphs by Keneni Abera Tola, V. N. Srinivasa Rao Repalle, Mamo Abebe Ashebo

“…Line graphs of neutrosophic graphs are significant due to their ability to represent and analyze uncertain or indeterminate information about edge relationships and complex networks in graphs. However, there is a research gap on the line graph of interval-valued neutrosophic graphs. …”
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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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Dynamics of Fractional-Order Three-Species Food Chain Model with Vigilance Effect by Vinoth Seralan, Rajarathinam Vadivel, Nallappan Gunasekaran, Taha Radwan

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Efficient Enumeration of d-Minimal Paths in Reliability Evaluation of Multistate Networks by Xiu-Zhen Xu, Yi-Feng Niu, Qing Li

“…A number of real-world complex networks can be modeled as multistate networks for performance analysis. …”
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Firing propagation in empirical cognitive networks of human brain by Dehua Chen, Ruohua Gao, Zhiyin Yang, Siyu Huo, Zonghua Liu

“…So far, in the context of signal propagation, some progress has been achieved on complex networks, especially on the Caenorhabditis elegans network, but little attention has been paid to the empirical cognitive networks of the human brain, which are the networks responsible for cognitive tasks. …”
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Irreversibility in non-reciprocal chaotic systems by Tuan Minh Pham, Albert Alonso, Karel Proesmans

“…In this paper, we address this question by developing a stochastic-thermodynamics treatment of complex networks that exhibit chaos. Specifically, we establish an exact relation between the averaged entropy production rate—a measure of irreversibility—and the autocorrelation function for an infinite system of neurons coupled via random non-reciprocal interactions. …”
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Evolutionary game of international trade network based on trade policy differences by Jun Zheng, Junfang Wang, Aizhong Shen

“…In this paper, we build an evolutionary game model of international trade in which complex networks portray game relationships and trade policy differences are game strategies of players. …”
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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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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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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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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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Research on the cross-contagion between international stock markets and geopolitical risks: the two-layer network perspective by Xiao-Li Gong, Hao-Yang Ning, Xiong Xiong

“…To analyze in-depth the risk contagion path between the international stock market and geopolitics under the impact of extreme events, this paper explores the tail risk interactive contagion mechanism and dynamic effects of the double-layer network between the international stock market and geopolitics from the perspective of complex networks. Empirical research finds that geopolitical conflicts exacerbate risk contagion among international stock markets, and there are significant differences in risk contagion between developed and emerging economies. …”
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A growth model for citations networks by Pedro Castillo-Castillo, Enrique Stevens-Navarro, Ulises Pineda-Rico, Abel Garcia-Barrientos, Francisco R. Castillo-Soria, Jesus Acosta-Elias

“…Abstract In some complex networks, nodes can continuously increase or decrease the number of their incoming and outgoing links. …”
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