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Trajanovski, S. (author), Kuipers, F.A. (author), Ili?, A. (author), Crowcroft, J. (author), Van Mieghem, P. (author)
Due to their importance to society, communication networks should be built and operated to withstand failures.However, cost considerations make network providers less inclined to take robustness measures against failures that are unlikely to manifest, like several failures coinciding simultaneously in different geographic regions of their...
journal article 2014
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Martin-Hernandez, J. (author), Li, Z. (author), Van Mieghem, P. (author)
One of the better studied topology metrics of complex networks is the second smallest eigenvalue of the Laplacian matrix of a network’s graph, referred to as the algebraic connectivity mN-1. This spectral metric plays a decisive role in synchronization of coupled oscillators, network robustness, consensus problems, belief propagation, graph...
journal article 2014
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van de Bovenkamp, R. (author), Kuipers, F.A. (author), Van Mieghem, P.F.A. (author)
journal article 2014
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Li, C. (author), Wang, H. (author), Van Mieghem, P.F.A. (author)
Epidemics have so far been mostly studied in undirected networks. However, many real-world networks, such as the online social network Twitter and the world wide web, on which information, emotion, or malware spreads, are directed networks, composed of both unidirectional links and bidirectional links. We define the directionality ? as the...
journal article 2013
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Guo, D. (author), Trajanovski, S. (author), Van de Bovenkamp, R. (author), Wang, H. (author), Van Mieghem, P.F.A. (author)
The interplay between disease dynamics on a network and the dynamics of the structure of that network characterizes many real-world systems of contacts. A continuous-time adaptive susceptible-infectious-susceptible (ASIS) model is introduced in order to investigate this interaction, where a susceptible node avoids infections by breaking its...
journal article 2013
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Winterbach, W. (author), Van Mieghem, P. (author), Reinders, M. (author), Wang, H. (author), De Ridder, D. (author)
Molecular interactions are often represented as network models which have become the common language of many areas of biology. Graphs serve as convenient mathematical representations of network models and have themselves become objects of study. Their topology has been intensively researched over the last decade after evidence was found that...
journal article 2013
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Wang, H. (author), Li, Q. (author), D'Agostino, G. (author), Havlin, S. (author), Stanley, H.E. (author), Van Mieghem, P. (author)
Most real-world networks are not isolated. In order to function fully, they are interconnected with other networks, and this interconnection influences their dynamic processes. For example, when the spread of a disease involves two species, the dynamics of the spread within each species (the contact network) differs from that of the spread...
journal article 2013
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Cator, E. (author), Van de Bovenkamp, R. (author), Van Mieghem, P.F.A. (author)
The classical, continuous-time susceptible-infected-susceptible (SIS) Markov epidemic model on an arbitrary network is extended to incorporate infection and curing or recovery times each characterized by a general distribution (rather than an exponential distribution as in Markov processes). This extension, called the generalized SIS (GSIS)...
journal article 2013
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Trajanovski, S. (author), Kuipers, F. A. (author), Van Mieghem, P. (author), Ili?, A. (author), Crowcroft, J. (author)
Due to the importance of communication networks to society, it is pertinent that these networks can withstand failures. Improving the robustness of a network usually requires installing redundant resources, which is very costly. Network providers are consequently less inclined to take robustness measures against failures that are unlikely to...
conference paper 2013
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Doerr, C. (author), Blenn, N. (author), Van Mieghem, P. (author)
The infection times of individuals in online information spread such as the inter-arrival time of Twitter messages or the propagation time of news stories on a social media site can be explained through a convolution of lognormally distributed observation and reaction times of the individual participants. Experimental measurements support the...
journal article 2013
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Trajanovski, S. (author), Kuipers, F. A. (author), Van Mieghem, P. (author)
It is important that our vital networks (e.g., infrastructures) are robust to more than single-link failures. Failures might for instance affect a part of the network that resides in a certain geographical region. In this paper, considering networks embedded in a two-dimensional plane, we study the problem of finding a critical region - that is,...
conference paper 2013
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Trajanovski, S. (author), Martín-Hernández, J. (author), Winterbach, W. (author), Van Mieghem, P. (author)
We study the robustness of networks under node removal, considering random node failure, as well as targeted node attacks based on network centrality measures. Whilst both of these have been studied in the literature, existing approaches tend to study random failure in terms of average-case behavior, giving no idea of how badly network...
journal article 2013
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Van Mieghem, P.F.A. (author), Van de Bovenkamp, R. (author)
Most studies on susceptible-infected-susceptible epidemics in networks implicitly assume Markovian behavior: the time to infect a direct neighbor is exponentially distributed. Much effort so far has been devoted to characterize and precisely compute the epidemic threshold in susceptible-infected-susceptible Markovian epidemics on networks. Here,...
journal article 2013
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Trajanovski, S. (author), Kuipers, F.A. (author), Martín-Hernández, J. (author), Van Mieghem, P. (author)
Modularity is a quantitative measure for characterizing the existence of a community structure in a network. A network's modularity depends on the chosen partitioning of the network into communities, which makes finding the specific partition that leads to the maximum modularity a hard problem. In this paper, we prove that deciding whether a...
journal article 2013
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Liu, D. (author), Trajanovski, S. (author), Van Mieghem, P. (author)
For a fixed number N of nodes, the number of links L in the line graph H(N,L) can only appear in consecutive intervals, called a band of L. We prove that some consecutive integers can never represent the number of links L in H(N,L), and they are called a bandgap of L. We give the exact expressions of bands and bandgaps of L. We propose a model...
journal article 2013
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Cator, E.A. (author), Van Mieghem, P. (author)
Since mean-field approximations for susceptible-infected-susceptible (SIS) epidemics do not always predict the correct scaling of the epidemic threshold of the SIS metastable regime, we propose two novel approaches: (a) an ?-SIS generalized model and (b) a modified SIS model that prevents the epidemic from dying out (i.e., without the...
journal article 2013
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Trajanovski, S. (author), Kuipers, F.A. (author), Van Mieghem, P.F.A. (author), Ilic, A (author), Crowcroft, J (author)
conference paper 2013
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Trajanovski, S. (author), Kuipers, F.A. (author), Martin Hernandez, J. (author), Van Mieghem, P.F.A. (author)
journal article 2013
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Trajanovski, S. (author), Kuipers, F.A. (author), Van Mieghem, P.F.A. (author)
conference paper 2013
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Liu, D. (author), Blenn, N. (author), Van Mieghem, P.F.A. (author)
ur society contains all types of organizations, such as companies, research groups and hobby clubs. Affliation networks, as a large and important portion of social networks, consist of individuals and their affiation relations: Two individuals are connected by a link if they belong to the same organization(s). Affliation networks naturally...
journal article 2012
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