Results 21 to 30 of about 395,732 (262)
We present a model for the description of the evolution of contacts among individuals in a network. At each time step each individual is associated with a domain or neighborhood of fully connected agents.The dynamics of this changing neighborhood will later be translated into a situation where the links between individuals are also dynamic.
Kuperman, M. N. +2 more
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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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IntroductionMathematical modeling has emerged as a crucial component in understanding the epidemiology of infectious diseases. In fact, contemporary surveillance efforts for epidemic or endemic infections heavily rely on mathematical and computational ...
Paola Stolfi +3 more
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Dynamic Random Networks in Dynamic Populations [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Britton, Tom, Lindholm, Mathias
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Dynamics of information networks [PDF]
AbstractWe explore a simple model of network dynamics which has previously been applied to the study of information flow in the context of epidemic spreading. A random rooted network is constructed that evolves according to the following rule: at a constant rate, pairs of nodes (i, j) are randomly chosen to interact, with an edge drawn from i to j (and
Andrei Sontag +2 more
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Link prediction method for dynamic networks based on matching degree of nodes
The research of dynamic evolutionary trends and temporal characteristics in real networks which are important part of the real world is a hot research issue nowadays.As a typical research tool in the field of network science, link prediction technique ...
Cong LI +4 more
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Researchers have become increasingly interested in disentangling selection and influence processes. This literature review provides context for the special issue on network–behavior dynamics. It brings together important conceptual, methodological, and empirical contributions focusing on longitudinal social network modeling.
Veenstra, René +3 more
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Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators
Link prediction is the task of evaluating the probability that an edge exists in a network, and it has useful applications in many domains. Traditional approaches rely on measuring the similarity between two nodes in a static context. Recent research has
Carter Chiu, Justin Zhan
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Reversible Dynamic Behavior of Condensation‐Cured Silicone Elastomers Caused by a Catalyst
This study demonstrates that dibutyltin‐dilaurate (DBTL), commonly used to catalyze condensation‐cured silicone elastomers, causes dynamic behavior in the silicone network, which is attributed to the catalyst finding a way to become part of the elastomer
Alena Jurásková +2 more
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Probably one of the most characteristic features of a living system is its continual propensity to change as it juggles the demands of survival with the need to replicate. Internally these adjustments are manifest as changes in metabolite, protein, and gene activities.
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