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Van Mieghem, P. (author), Wang, H. (author)
journal article 2009
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Hooghiemstra, G. (author), Van Mieghem, P. (author)
Both the hopcount HN (the number of links) and the weight WN (the sum of the weights on links) of the shortest path between two arbitrary nodes in the complete graph KN with i.i.d. exponential link weights is computed. We consider the joint distribution of the pair (HN,WN) and derive, after proper scaling, the joint limiting distribution. One of...
journal article
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Stam, C.J. (author), Tewarie, P. (author), Van Dellen, E. (author), Van Straaten, E.C.W. (author), Hillebrand, A. (author), Van Mieghem, P. (author)
In recent years there has been a shift in focus from the study of local, mostly task-related activation to the exploration of the organization and functioning of large-scale structural and functional complex brain networks. Progress in the interdisciplinary field of modern network science has introduced many new concepts, analytical tools and...
journal article 2014
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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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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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Martin-Hernandez, J. (author), Wang, H. (author), Van Mieghem, P. (author), D'Agostino, G. (author)
The algebraic connectivity UN-1, i.e. the second smallest eigenvalue of the Laplacian matrix, plays a crucial role in dynamic phenomena such as diffusion processes, synchronization stability, and network robustness. In this work we study the algebraic connectivity in the general context of interdependent networks, or network-of-networks (NoN)....
journal article 2014
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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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Kuipers, F. (author), Korkmaz, T. (author), Krunz, M. (author), Van Mieghem, P. (author)
journal article 2004
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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)
Mean-field approximations (MFAs) are frequently used in physics. When a process (such as an epidemic or a synchronization) on a network is approximated by MFA, a major hurdle is the determination of those graphs for which MFA is reasonably accurate. Here, we present an accuracy criterion for Markovian susceptible-infected-susceptible (SIS)...
journal article 2015
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Li, C. (author), Li, Q. (author), Van Mieghem, P.F.A. (author), Stanley, H.E. (author), Wang, H. (author)
In recent decades, a number of centrality metrics describing network properties of nodes have been proposed to rank the importance of nodes. In order to understand the correlations between centrality metrics and to approximate a high-complexity centrality metric by a strongly correlated low-complexity metric, we first study the correlation...
journal article 2015
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Stam, C.J. (author), Hillebrand, A. (author), Wang, H. (author), Van Mieghem, P. (author)
A network of 32 or 64 connected neural masses, each representing a large population of interacting excitatory and inhibitory neurons and generating an electroencephalography/magnetoencephalography like output signal, was used to demonstrate how an interaction between dynamics and connectivity might explain the emergence of complex network...
journal article 2010
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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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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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Van Mieghem, P. (author), Wang, H. (author), Ge, X. (author), Tang, S. (author), Kuipers, F.A. (author)
Newman’s measure for (dis)assortativity, the linear degree correlation coefficient ?D, is reformulated in terms of the total number Nk of walks in the graph with k hops. This reformulation allows us to derive a new formula from which a degree-preserving rewiring algorithm is deduced, that, in each rewiring step, either increases or decreases ?D...
journal article 2010
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Van Mieghem, P.F.A. (author), Blenn, N. (author), Doerr, C. (author)
We analyse the number of votes, called the digg value, which measures the impact or popularity of submitted information in the Online Social Network Digg. Experiments over five years indicate that the digg value of a story on the first frontpage follows closely a lognormal distribution. While the law of proportionate effect explains lognormal...
journal article 2011
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Li, C. (author), Wang, H. (author), De Haan, W. (author), Stam, C.J. (author), Van Mieghem, P.F.A. (author)
An increasing number of network metrics have been applied in network analysis. If metric relations were known better, we could more effectively characterize networks by a small set of metrics to discover the association between network properties/metrics and network functioning. In this paper, we investigate the linear correlation coefficients...
journal article 2011
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Sahneh, F.D. (author), Scoglio, C. (author), Van Mieghem, P. (author)
An interconnected network features a structural transition between two regimes [F. Radicchi and A. Arenas, Nat. Phys. 9, 717 (2013)]: one where the network components are structurally distinguishable and one where the interconnected network functions as a whole. Our exact solution for the coupling threshold uncovers network topologies with...
journal article 2015
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Hooghiemstra, G. (author), Van Mieghem, P. (author)
In this article Gerard Hooghiemstra and Piet van Mieghem explain why the Gauss inequality is overshadowed by the Chebychev inequality. Furthermore, they present a proof of the Gauss inequality in modern notation.
journal article 2015
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Yu, M. (author), Hillebrand, A. (author), Tewarie, P. (author), Meier, J. (author), Van Dijk, B. (author), Van Mieghem, P. (author), Stam, C.J. (author)
The identification of clusters or communities in complex networks is a reappearing problem. The minimum spanning tree (MST), the tree connecting all nodes with minimum total weight, is regarded as an important transport backbone of the original weighted graph. We hypothesize that the clustering of the MST reveals insight in the hierarchical...
journal article 2015
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