Results 21 to 30 of about 421,141 (266)

Tracking the Evolution of Communities in a Social Network of Intellectual Influences

open access: yesJournal of Historical Network Research, 2022
The history of intellectuals consists of a long-spanning entangled web of influences, interdependencies, and inspirations. In this paper, we construe the history of intellectuals by means of a formalized network approach, and structurally analyze how ...
Cindarella Petz   +2 more
doaj   +3 more sources

Fluctuations in Network Dynamics [PDF]

open access: yesPhysical Review Letters, 2004
Most complex networks serve as conduits for various dynamical processes, ranging from mass transfer by chemical reactions in the cell to packet transfer on the Internet. We collected data on the time dependent activity of five natural and technological networks, finding that for each the coupling of the flux fluctuations with the total flux on ...
de Menezes, M. Argollo, Barabasi, A-L.
openaire   +3 more sources

Dynamic Slimmable Network [PDF]

open access: yes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Accepted to CVPR 2021 as an Oral ...
Changlin Li   +5 more
openaire   +2 more sources

Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models

open access: yesFrontiers 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
doaj   +1 more source

The dynamics of transmission and the dynamics of networks [PDF]

open access: yesJournal of Animal Ecology, 2017
A toy example depicted here highlighting the results of a study in this issue of theJournal of Animal Ecologythat investigates the impact of network dynamics on potential disease outbreaks. Infections (stars) that spread by contact only (left) reduce the predicted outbreak size compared to situations where individuals can become infected by moving ...
openaire   +4 more sources

An agent-based multi-level model to study the spread of gonorrhea in different and interacting risk groups

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
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
doaj   +1 more source

Networks, topology and dynamics [PDF]

open access: yesQuality & Quantity, 2014
Interest in network analysis has grown in recent years. Many social, economic and financial systems with large numbers of interacting agents can be conveniently described by a network. In the last decade, new theories have been developed to highlight the topological properties of network architectures, despite their apparent randomness.
Torriero, Anna, Stefani, Silvana
openaire   +1 more source

Universality in network dynamics [PDF]

open access: yesNature Physics, 2013
Despite significant advances in characterizing the structural properties of complex networks, a mathematical framework that uncovers the universal properties of the interplay between the topology and the dynamics of complex systems continues to elude us. Here we develop a self-consistent theory of dynamical perturbations in complex systems, allowing us
Barzel, Baruch, Barabasi, Albert-Laszlo
openaire   +4 more sources

Deep Learning for Link Prediction in Dynamic Networks Using Weak Estimators

open access: yesIEEE Access, 2018
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
doaj   +1 more source

Backpropagation on Dynamical Networks

open access: yesCoRR, 2022
Dynamical networks are versatile models that can describe a variety of behaviours such as synchronisation and feedback. However, applying these models in real world contexts is difficult as prior information pertaining to the connectivity structure or local dynamics is often unknown and must be inferred from time series observations of network states ...
Eugene Tan   +3 more
openaire   +2 more sources

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