Results 21 to 30 of about 11,230,345 (378)

Visualizing the Evolution of Historical Networks Using Small Multiples in Grid Charts

open access: yesJournal of Historical Network Research, 2022
Historical time presents interesting conceptual problems for network visualization. The manifestations of time in historical network research (HNR) are similarly numerous and distinct. Time in HNR cannot always be reduced to the concept of chronological
Melanie Conroy   +3 more
doaj   +1 more source

Network dynamics on graphops [PDF]

open access: yesNew Journal of Physics, 2020
Abstract In this article we report on a novel way to incorporate complex network structure into the analysis of interacting particle systems. More precisely, it is well-known that in well-mixed/homogeneous/all-to-all-coupled systems, one may derive mean-field limit equations such as Vlasov–Fokker–Planck equations (VFPEs).
openaire   +5 more sources

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks [PDF]

open access: yesIEEE Conference on Computer Communications, 2019
In this paper, we generally formulate the dynamics prediction problem of various network systems (e.g., the prediction of mobility, traffic and topology) as the temporal link prediction task.
Kai Lei   +4 more
semanticscholar   +1 more source

Dynamical networks in function dynamics [PDF]

open access: yesPhysica D: Nonlinear Phenomena, 2003
29 pages, 10 ...
Kunihiko Kaneko, Naoto Kataoka
openaire   +3 more sources

Entropic dynamics of networks

open access: yesNortheast Journal of Complex Systems, 2021
Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics of graphs meant to represent a network derived from the principle of maximum entropy and the rate of transition is obtained taking into account the natural information geometry of probability distributions.
Felipe Xavier Costa, Pedro Pessoa
openaire   +7 more sources

Dynamic Neural Networks: A Survey [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Dynamic neural network is an emerging research topic in deep learning. Compared to static models which have fixed computational graphs and parameters at the inference stage, dynamic networks can adapt their structures or parameters to different inputs ...
Yizeng Han   +5 more
semanticscholar   +1 more source

Epidemics on dynamic networks [PDF]

open access: yesEpidemics, 2018
In many populations, the patterns of potentially infectious contacts are transients that can be described as a network with dynamic links. The relative timescales of link and contagion dynamics and the characteristics that drive their tempos can lead to important differences to the static case.
Enright, Jessica, Kao, Rowland Raymond
openaire   +5 more sources

Visual Analysis of Contact Patterns in School Environments

open access: yesInformatics 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
doaj   +1 more source

Dynamics of Loneliness Among Older Adults During the COVID-19 Pandemic: Pilot Study of Ecological Momentary Assessment With Network Analysis

open access: yesFrontiers 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
doaj   +1 more source

Dynamic community discovery via common subspace projection

open access: yesNew 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
doaj   +1 more source

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