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Emotional Interaction and Behavioral Decision-Making Mechanism in Network Science Education Based on Deep Learning
Published 2022-01-01“…With the globalization of network education and the design and construction of all aspects of engineering, network science education is playing an increasingly important role in higher education and even the lifelong education system of college students. …”
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Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science
Published 2025-01-01Subjects: Get full text
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Cognitive Network Science: A Review of Research on Cognition through the Lens of Network Representations, Processes, and Dynamics
Published 2019-01-01“…Network science provides a set of quantitative methods to investigate complex systems, including human cognition. …”
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The interplay of sex and genotype in disease associations: a comprehensive network analysis in the UK Biobank
Published 2025-01-01Subjects: Get full text
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Connectivity and community structure of online and register-based social networks
Published 2025-01-01Subjects: “…Network science…”
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Network Diffusion Framework to Simulate Spreading Processes in Complex Networks
Published 2024-09-01Subjects: Get full text
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Graph coarsening for fugitive interception
Published 2025-01-01“…Applied Network Science…”
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Bayesian hierarchical network autocorrelation models for estimating direct and indirect effects of peer hospitals on outcomes of hospitalized patients
Published 2024-06-01“…Applied Network Science…”
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A growth model for citations networks
Published 2025-01-01“…Applied Network Science…”
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Functional switching among dynamic neuronal hub-nodes in the brain induces maintenance/transition of cognitive states
Published 2025-01-01“…Applied Network Science…”
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¿Qué es y cómo medir capital social?
Published 2025-01-01“… Este artículo busca comprender cómo se ha entendido/definido y medido capital social en la comunidad de redes en cinco revistas académicas seleccionadas: Social Networks, Connnections, Journal of Social Structures (JoSS), Network Science, y Applied Network Science. La intención es no solo problematizar como se ha venido usando esta noción desde una perspectiva de redes sociales; si no que también, mostrar cuales son los vacíos en la literatura y los desafíos a futuro. …”
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Synchronizability of Multilayer Star and Star-Ring Networks
Published 2020-01-01“…Synchronization of multilayer complex networks is one of the important frontier issues in network science. In this paper, we strictly derived the analytic expressions of the eigenvalue spectrum of multilayer star and star-ring networks and analyzed the synchronizability of these two networks by using the master stability function (MSF) theory. …”
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Multiscale network alignment model based on convolution of homogeneous multilayer graphs
Published 2024-12-01“…Social network alignment as an important research method in network science has been widely used in several fields. …”
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Immunization of Cooperative Spreading Dynamics on Complex Networks
Published 2021-01-01“…Cooperative spreading dynamics on complex networks is a hot topic in the field of network science. In this paper, we propose a strategy to immunize some nodes based on their degrees. …”
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Challenges and opportunities for digital twins in precision medicine from a complex systems perspective
Published 2025-01-01“…It enables the exploration of diverse therapeutic strategies and supports dynamic clinical decision-making through insights from network science, quantitative biology, and digital medicine.…”
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Quantitative Analysis of Comprehensive Influence of Music Network Based on Logistic Regression and Bidirectional Clustering
Published 2021-01-01“…Therefore, this paper uses network science to build a dynamic network to analyze the similarity of music, the evolution process, and the impact of music on culture, which has certain research significance and practical value in the fields of music, history, social science, and practice.…”
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Firing propagation in empirical cognitive networks of human brain
Published 2025-01-01“…Understanding the physical mechanisms of brain functions has always been a challenging problem in the fields of nonlinear dynamics and network science. A promising approach to address this problem is by studying signal propagation on brain cognitive networks. …”
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The symmetric division Szeged index: A novel tool for predicting physical and chemical properties of complex networks
Published 2025-02-01“…As research progresses, we anticipate further developments and applications that will enhance our comprehension of complex systems and their properties across fields like network science, computer science, and physics.…”
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