Epidemic processes in complex networks

R Pastor-Satorras, C Castellano, P Van Mieghem… - Reviews of modern …, 2015 - APS
In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Assortativity in complex networks

R Noldus, P Van Mieghem - Journal of Complex Networks, 2015 - academic.oup.com
We survey the concept of assortativity, starting from its original definition by Newman in
2002. Degree assortativity is the most commonly used form of assortativity. Degree …

Network science

AL Barabási - … Transactions of the Royal Society A …, 2013 - royalsocietypublishing.org
Professor Barabási's talk described how the tools of network science can help understand
the Web's structure, development and weaknesses. The Web is an information network, in …

[图书][B] Graph spectra for complex networks

P Van Mieghem - 2023 - books.google.com
This concise and self-contained introduction builds up the spectral theory of graphs from
scratch, with linear algebra and the theory of polynomials developed in the later parts. The …

The N-intertwined SIS epidemic network model

P Van Mieghem - Computing, 2011 - Springer
Serious epidemics, both in cyber space as well as in our real world, are expected to occur
with high probability, which justifies investigations in virus spread models in (contact) …

Decreasing the spectral radius of a graph by link removals

P Van Mieghem, D Stevanović, F Kuipers, C Li… - Physical Review E …, 2011 - APS
The decrease of the spectral radius, an important characterizer of network dynamics, by
removing links is investigated. The minimization of the spectral radius by removing m links is …

Pseudoinverse of the Laplacian and best spreader node in a network

P Van Mieghem, K Devriendt, H Cetinay - Physical Review E, 2017 - APS
Determining a set of “important” nodes in a network constitutes a basic endeavor in network
science. Inspired by electrical flows in a resistor network, we propose the best conducting …

Susceptible-infected-susceptible model: A comparison of -intertwined and heterogeneous mean-field approximations

C Li, R van de Bovenkamp, P Van Mieghem - Physical Review E—Statistical …, 2012 - APS
We introduce the ɛ-susceptible-infected-susceptible (SIS) spreading model, which is taken
as a benchmark for the comparison between the N-intertwined approximation and the Pastor …

Synaptic reorganization of synchronized neuronal networks with synaptic weight and structural plasticity

K Chauhan, AB Neiman, PA Tass - PLOS Computational Biology, 2024 - journals.plos.org
Abnormally strong neural synchronization may impair brain function, as observed in several
brain disorders. We computationally study how neuronal dynamics, synaptic weights, and …

The robustness of interdependent clustered networks

X Huang, S Shao, H Wang, SV Buldyrev… - Europhysics …, 2013 - iopscience.iop.org
It was recently found that cascading failures can cause the abrupt breakdown of a system of
interdependent networks. Using the percolation method developed for single clustered …