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Visualizing the Evolution of Historical Networks Using Small Multiples in Grid Charts
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
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Network dynamics on graphops [PDF]
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).
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GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks [PDF]
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]
29 pages, 10 ...
Kunihiko Kaneko, Naoto Kataoka
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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
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Dynamic Neural Networks: A Survey [PDF]
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]
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
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Visual Analysis of Contact Patterns in School Environments
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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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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Dynamic community discovery via common subspace projection
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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