Results 31 to 40 of about 9,974,561 (338)
Frontiers in Digital Health, 2022 ObjectiveThe COVID-19 pandemic has had potentially severe psychological implications for older adults, including those in retirement communities, due to restricted social interactions, but the day-to-day experience of loneliness has received limited ...
Varsha D. Badal +14 more
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Physics Reports, 2023 It is a fundamental challenge to understand how the function of a network is related to its structural organization. Adaptive dynamical networks represent a broad class of systems that can change their connectivity over time depending on their dynamical state.
Rico Berner +4 more
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Dynamic community discovery via common subspace projection
New Journal of Physics, 2021 Detecting communities of highly internal and low external interactions in dynamically evolving networks has become increasingly important owing to its wide applications in divers fields.
Lanlan Yu +3 more
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Mathematical Biosciences and Engineering, 2022 Mathematical modeling of epidemic diseases is increasingly being used to respond to emerging diseases. Although conditions modeled by SIS dynamics will eventually reach either a disease-free steady-state or an endemic steady state without interventions ...
Jun Hyung Bae, Sang-Mook Lee
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Frontiers in Computational Neuroscience, 2018 In spike-timing dependent plasticity (STDP) change in synaptic strength depends on the timing of pre- vs. postsynaptic spiking activity. Since STDP is in compliance with Hebb’s postulate, it is considered one of the major mechanisms of memory storage and
Alexandre Foncelle +11 more
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Visual Analysis of Contact Patterns in School Environments
Informatics in Education, 2020 Information Visualisation strategies can be applied in a variety of domains. In the context of temporal networks, i.e., networks in which interactions between individuals occur throughout time, efforts have been conducted to develop visual approaches ...
Jean R. PONCIANO +4 more
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hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks
Journal of Statistical Software, 2020 Disease spreading simulations are traditionally performed using coupled differential equations. However, in the setting of metapopulations, most of the solutions provided by this method do not account for the dynamic topography of subpopulations ...
Fernando S. Marques +5 more
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Optimal change point detection and localization in sparse dynamic networks [PDF]
Annals of Statistics, 2018 We study the problem of change point detection and localization in dynamic networks. We assume that we observe a sequence of independent adjacency matrices of given size, each corresponding to one realization from an unknown inhomogeneous Bernoulli model.
Daren Wang, Yi Yu, A. Rinaldo
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Synaptic energy drives the information processing mechanisms in spiking neural networks
Mathematical Biosciences and Engineering, 2013 Flow of energy and free energy minimization underpins almost every aspect of naturally occurring physical mechanisms. Inspired by this fact this work establishes an energy-based framework that spans the multi-scale range of biological neural systems and ...
Karim El Laithy, Martin Bogdan
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Influential Performance of Nodes Identified by Relative Entropy in Dynamic Networks
Vietnam Journal of Computer Science, 2021 For decades, centrality has been one of the most studied concepts in the case of complex networks. It addresses the problem of identification of the most influential nodes in the network.
Péter Marjai, Attila Kiss
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