Searched for: subject%3A%22Network%255C+Reconstruction%22
(1 - 8 of 8)
document
Prasse, B. (author), Van Mieghem, P.F.A. (author)
A network consists of two interdependent parts: the network topology or graph, consisting of the links between nodes and the network dynamics, specified by some governing equations. A crucial challenge is the prediction of dynamics on networks, such as forecasting the spread of an infectious disease on a human contact network. Unfortunately,...
journal article 2022
document
Prasse, B. (author)
The field of epidemiology encompasses a broad class of spreading phenomena, ranging from the seasonal influenza and the dissemination of fake news on online social media to the spread of neural activity over a synaptic network. The propagation of viruses, fake news and neural activity relies on the contact between individuals, social media...
doctoral thesis 2021
document
Kole, Sjors (author)
Phylogenetic networks are a generalization of evolutionary trees that can be used to represent reticulate events. Level-k phylogenetic networks are such networks, but with a at most k reticulations per biconnected component of the network. For level-1 networks there exists an algorithm, called TriLoNet (Trinet Level-one Network algorithm), that...
master thesis 2020
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Prasse, B. (author), Van Mieghem, P.F.A. (author)
The SIS dynamics of the spread of a virus crucially depend on both the network topology and the spreading parameters. Since neither the topology nor the spreading parameters are known for the majority of applications, they have to be inferred from observations of the viral spread. We propose an inference method for both topology and spreading...
journal article 2019
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Tang, Yue (author)
Epidemic models are applied to describe epidemic processes such as the spreading of infectious viruses, opinions and fake news on real-life or online<br/>social networks, and to analyse the epidemic processes mathmatically. The viral state evolution is closely related to the underlying network topology. Therefore, the network topology is of...
master thesis 2018
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Oldman, James (author), Wu, Taoyang (author), van Iersel, L.J.J. (author), Moulton, V.L. (author)
Phylogenetic networks are a generalization of evolutionary trees that can be used to represent reticulate processes such as hybridization and recombination. Here, we introduce a new approach called TriLoNet (Trinet Level- one Network algorithm) to construct such networks directly from sequence alignments which works by piecing together smaller...
journal article 2016
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Torres Tapia, P.I. (author)
In this thesis, three novel state-space identification algorithms for linear interconnected systems are proposed. The computational complexity and the topology reconstruction of the interconnected system are addressed. Possible applications of this theory can be found in Biology, Economics, Transportation, Electrical and Mechanical Engineering....
doctoral thesis 2014
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Melia, T. (author)
As the metabolic network reconstruction process via manual curation proves to be a tedious process, the need for an automated reconstruction tool becomes imminent. There has been previous attempts to automate metabolic network reconstruction. These existing approaches rely on sequence similarity to infer functions. Consequently, they fail to...
master thesis 2009
Searched for: subject%3A%22Network%255C+Reconstruction%22
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