Results 61 to 70 of about 140,926 (181)
Coupled Information–Epidemic Spreading Dynamics with Selective Mass Media
Entropy, 2023 As a pandemic emerges, information on epidemic prevention disseminates among the populace, and the propagation of that information interacts with the proliferation of the disease.
Jiajun Xian +3 more
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Multiplex flows in citation networks [PDF]
Applied Network Science, 2017 Knowledge is created and transmitted through generations, and innovation is often seen as a process generated from collective intelligence. There is rising interest in studying how innovation emerges from the blending of accumulated knowledge, and from which path an innovation mostly inherits.
Benjamin Renoust +2 more
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International Journal of Digital Earth, 2021 The pandemic of COVID-19 witnessed a massive infodemic with the public being bombarded with vast quantities of information. The spreading of neutral and highly accurate reports can guide the public to self-protect and reduce the pandemic.
Xiaoqi Zhang +6 more
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Epidemic spreading with an awareness-based adaptive mechanism in temporal multiplex networks
Frontiers in Physics, 2023 Social interaction, which is intricate and time-varying, has emerged as a pivotal consideration in epidemic spreading. In this paper, we devise a UAU–SIS model for simulating awareness diffusion and epidemic spreading on temporal multiplex networks ...
Wenze Xiong, Wenze Xiong, Chunjie Zhou
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Assessing diversity in multiplex networks [PDF]
Scientific Reports, 2019 AbstractDiversity, understood as the variety of different elements or configurations that an extensive system has, is a crucial property that allows maintaining the system’s functionality in a changing environment, where failures, random events or malicious attacks are often unavoidable.
Laura C. Carpi +6 more
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MathematicsThis study comprehensively examines the coupling effect of government policies, enterprise behavior, and existing technology on the diffusion of innovative technology. Utilizing multiplex network theory, a multiplex network model is constructed to couple
Jingyi Wang, Rui Hu, Hua Xu
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A Link Prediction Algorithm Based on Layer Attention Mechanism for Multiplex Networks
MathematicsLink prediction is a technique for predicting future or missing relationships between entities based on current network information. Recent studies on link prediction in multiplex networks have improved prediction accuracy by considering inter-layer ...
Mingzhou Yang, Yongqi He
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Synchronization Induced by Layer Mismatch in Multiplex Networks
Entropy, 2023 Heterogeneity among interacting units plays an important role in numerous biological and man-made complex systems. While the impacts of heterogeneity on synchronization, in terms of structural mismatch of the layers in multiplex networks, has been ...
Md Sayeed Anwar +3 more
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Weak percolation on multiplex networks [PDF]
Physical Review E, 2014 14 pages, 12 ...
Baxter, Gareth J. +3 more
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Frontiers in Neuroimaging, 2023 With the increasing success of mapping brain networks and availability of multiple MR- and PET-based connectivity measures, the need for novel methodologies to unravel the structure and function of the brain at multiple spatial and temporal scales is ...
Martijn Devrome +3 more
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