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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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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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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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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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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Crisis Spreading Model of the Shareholding Networks of Listed Companies and Their Main Holders and Their Controllability by Yuanyuan Ma, Lingxuan Li

“…Based on the systematic analysis of the epidemic diseases and rumors spreading on the complex networks, the SIR model is introduced to research the crisis spreading in shareholding networks of listed companies and their main holders on the basis of the data about ownership structure in Chinese Stock Markets. …”
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Towards Complexity and Dynamics: A Bibliometric-Qualitative Review of Network Research in Construction by Dongping Cao, Shiting Shao

“…Future research can be enriched by investigating the multiple types of dynamic interproject relationships, adopting state-of-the-art methodologies for network data collection and triangulation, and employing multiple SNA constructs and inferential statistical methods to reveal how complex networks coevolve and interact with actors’ behaviors as well as project and organizational outcomes.…”
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Entropic imprints on bioinformatics by Ismail Mageed

“…The entropic framework is a crucial method in statistical inference that helps scientists create models to describe and predict biological systems, particularly complex networks like gene interactions. Its effectiveness comes from its simple concepts and solid mathematical foundation, making it applicable in various situations. …”
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Understanding collective behavior in biological systems through potential field mechanisms by Junqiao Zhang, Qiang Qu, Xuebo Chen

“…This framework enhances our understanding of collective behavior and has implications for bio-robotics, distributed systems, and complex networks.…”
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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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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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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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Evolution of Scale-Free Wireless Sensor Networks with Feature of Small-World Networks by Ying Duan, Xiuwen Fu, Wenfeng Li, Yu Zhang, Giancarlo Fortino

“…Scale-free network and small-world network are the most impacting discoveries in the complex networks theories and have already been successfully proved to be highly effective in improving topology structures of wireless sensor networks. …”
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Semantic Modeling for SNPs Associated with Ethnic Disparities in HapMap Samples by HyoYoung Kim, Won Gi Yoo, Junhyung Park, Heebal Kim, Byeong-Chul Kang

“…A semantic network is needed for in-depth understanding of the impacts of SNPs, because phenotypes are modulated by complex networks, including biochemical and physiological pathways. …”
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A 22 yr Cycle of the Network Topology of Solar Active Regions by Eduardo Flández, Alejandro Zamorano, Víctor Muñoz

“…In this paper, solar cycles 21–24 were compared using complex network analysis. A network was constructed for these four solar cycles to facilitate the comparison. …”
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A Node Similarity and Community Link Strength-Based Community Discovery Algorithm by Haijuan Yang, Jianjun Cheng, Zeyi Yang, Handong Zhang, Wenbo Zhang, Ke Yang, Xiaoyun Chen

“…Community structure is one of the common characteristics of complex networks. In the practical work, we have noted that every node and its most similar node tend to be assigned to the same community and that two communities are often merged together if there exist relatively more edges between them. …”
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Associated Credit Risk Contagion with Incubatory Period: A Network-Based Perspective by Kai Xu, Jianming Mo, Qian Qian, Fengying Zhang, Xiaofeng Xie, Zongfang Zhou

“…Secondly, from the perspective of complex network and considering the incubatory period, a SHIS model is built to reveal how the incubatory period influences associated credit risk contagion. …”
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