Searched for: author:"Van Mieghem, P.F.A."
(1 - 20 of 92)

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He, Z. (author), Navneet, Kumar (author), van Dam, Wirdmer (author), Van Mieghem, P.F.A. (author)
Multimodal freight transport allows switching among different modes of transport to utilize transport facilities more efficiently. This paper proposes an approach on network modeling and robustness assessment for multimodal freight transport networks, where the nodes represent junctions, terminals and crossings, and the links represent...
journal article 2021
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Sun, P. (author), He, Z. (author), Kooij, R.E. (author), Van Mieghem, P.F.A. (author)
Optical networks are vulnerable to failures due to targeted attacks or large-scale disasters. The recoverability of optical networks refers to the ability of an optical network to return to a desired performance level after suffering topological perturbations such as link failures. This paper proposes a general topological approach and...
journal article 2021
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Van Mieghem, P.F.A. (author)
The -susceptible-infected-susceptible (SIS) epidemic model on a graph adds an independent, Poisson self-infection process with rate to the "classical" Markovian SIS process. The steady state in the classical SIS process (with =0) on any finite graph is the absorbing or overall-healthy state, in which the virus is eradicated from the network....
journal article 2020
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Thierschmann, R. (author), Çetinay Iyicil, H. (author), Finkel, M. (author), Katan, A.J. (author), Westig, M.P. (author), Van Mieghem, P.F.A. (author), Klapwijk, T.M. (author)
We study the electrodynamic impedance of percolating conductors with a predefined network topology using a scanning microwave impedance microscope at gigahertz frequencies. For a given percolation number we observe strong spatial variations across a sample that correlate with the connected regions (clusters) in the network when the...
journal article 2020
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Tewarie, Prejaas (author), Prasse, B. (author), Meier, J.M. (author), Santos, Fernando A.N. (author), Douw, Linda (author), Schoonheim, Menno M. (author), Stam, Cornelis J. (author), Van Mieghem, P.F.A. (author), Hillebrand, Arjan (author)
Functional brain networks are shaped and constrained by the underlying structural network. However, functional networks are not merely a one-to-one reflection of the structural network. Several theories have been put forward to understand the relationship between structural and functional networks. However, it remains unclear how these...
journal article 2020
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Van Mieghem, P.F.A. (author), Wang, F. (author)
The average fraction of infected nodes, in short the prevalence, of the Markovian ɛ-SIS (susceptible-infected-susceptible) process with small self-infection rate ɛ>0 exhibits, as a function of time, a typical "two-plateau" behavior, which was first discovered in the complete graph KN. Although the complete graph is often dismissed as an...
journal article 2020
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Prasse, B. (author), Achterberg, M.A. (author), Ma, L. (author), Van Mieghem, P.F.A. (author)
At the moment of writing, the future evolution of the COVID-19 epidemic is unclear. Predictions of the further course of the epidemic are decisive to deploy targeted disease control measures. We consider a network-based model to describe the COVID-19 epidemic in the Hubei province. The network is composed of the cities in Hubei and their...
journal article 2020
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Prasse, B. (author), Van Mieghem, P.F.A. (author)
The majority of epidemic models are described by non-linear differential equations which do not have a closed-form solution. Due to the absence of a closed-form solution, the understanding of the precise dynamics of a virus is rather limited. We solve the differential equations of the N-intertwined mean-field approximation of the susceptible...
journal article 2020
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Pizzuti, Clara (author), Socievole, Annalisa (author), Prasse, B. (author), Van Mieghem, P.F.A. (author)
Initially emerged in the Chinese city Wuhan and subsequently spread almost worldwide causing a pandemic, the SARS-CoV-2 virus follows reasonably well the Susceptible–Infectious–Recovered (SIR) epidemic model on contact networks in the Chinese case. In this paper, we investigate the prediction accuracy of the SIR model on networks also for...
journal article 2020
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Achterberg, M.A. (author), Dubbeldam, J.L.A. (author), Van Mieghem, P.F.A. (author), Stam, Cornelis J. (author)
In the classical susceptible-infected-susceptible (SIS) model, a disease or infection spreads over a given, mostly fixed graph. However, in many real complex networks, the topology of the underlying graph can change due to the influence of the dynamical process. In this paper, besides the spreading process, the network adaptively changes its...
journal article 2020
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Devriendt, Karel (author), Van Mieghem, P.F.A. (author)
Graphs are a central object of study in various scientific fields, such as discrete mathematics, theoretical computer science and network science. These graphs are typically studied using combinatorial, algebraic or probabilistic methods, each of which highlights the properties of graphs in a uniqueway. Here, we discuss a novel approach to study...
review 2019
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Sun, P. (author), Van Mieghem, P.F.A. (author), Kooij, Robert E. (author), He, Z. (author), Van Mieghem, Piet (author)
In this paper, we propose closed-form analytic approximations for the minimum number of driver nodes needed to fully control networks, where links are removed according to both random and targeted attacks. Our approximations rely on the concept of critical links. A link is called critical if its removal increases the required number of driver...
conference paper 2019
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He, Z. (author), Sun, P. (author), Van Mieghem, P.F.A. (author)
Network recoverability refers to the ability of a network to return to a desired performance level after suffering malicious attacks or random failures. This paper proposes a general topological approach and recoverability indicators to measure the network recoverability in two scenarios: 1) recovery of damaged connections and 2) any...
conference paper 2019
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Prasse, B. (author), Van Mieghem, P.F.A. (author)
The majority of research on epidemics relies on models which are formulated in continuous-time. However, processing real-world epidemic data and simulating epidemics is done digitally and the continuous-time epidemic models are usually approximated by discrete-time models. In general, there is no guarantee that properties of continuous-time...
journal article 2019
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Cetinay-Iyicil, H. (author), Koc, Y. (author), Kuipers, F.A. (author), Van Mieghem, P.F.A. (author)
Direct connections between nodes usually result in efficient transmission in networks. Such electric power transmission is governed by physical laws, and an assessment purely based on direct connections between nodes and shortest paths may not capture the operation of power grids. Motivated by these facts, in this chapter, we investigate the...
book chapter 2019
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Douw, Linda (author), Dellen, van, Edwin (author), Gouw, Alida A. (author), Griffa, Alessandra (author), de Haan, Willem (author), van den Heuvel, Martijn (author), Hillebrand, Arjan (author), Van Mieghem, P.F.A. (author), Nissen, Ida A. (author)
Clinical network neuroscience, the study of brain network topology in neurological and psychiatric diseases, has become a mainstay field within clinical neuroscience. Being a multidisciplinary group of clinical network neuroscience experts based in The Netherlands, we often discuss the current state of the art and possible avenues for future...
review 2019
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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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Ma, L. (author), Liu, Q. (author), Van Mieghem, P.F.A. (author)
Dynamical processes running on different networks behave differently, which makes the reconstruction of the underlying network from dynamical observations possible. However, to what level of detail the network properties can be determined from incomplete measurements of the dynamical process is still an open question. In this paper, we focus on...
journal article 2019
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Liu, Q. (author), Zhou, Xiaoyu (author), Van Mieghem, P.F.A. (author)
In previous modelling efforts to understand the spreading process on networks, each node can infect its neighbors and cure spontaneously, and the curing is traditionally assumed to occur uniformly over time. This traditional curing is not optimal in terms of the trade-off between the effectiveness and cost. A pulse immunization/curing strategy...
journal article 2019
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Devriendt, K.L.T. (author), Van Mieghem, P.F.A. (author)
The cut-set ∂V in a graph is defined as the set of all links between a set of nodes V and all other nodes in that graph. Finding bounds for the size of a cut-set |∂V| is an important problem, and is related to mixing times, connectedness and spreading processes on networks. A standard way to bound the number of links in a cut-set |∂V| relies...
journal article 2019
Searched for: author:"Van Mieghem, P.F.A."
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