The organization of physiological brain networks

CJ Stam, ECW Van Straaten - Clinical neurophysiology, 2012 - Elsevier
One of the central questions in neuroscience is how communication in the brain is organized
under normal conditions and how this architecture breaks down in neurological disease. It …

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 …

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) …

Improving robustness of complex networks via the effective graph resistance

X Wang, E Pournaras, RE Kooij… - The European Physical …, 2014 - Springer
Improving robustness of complex networks is a challenge in several application domains,
such as power grids and water management networks. In such networks, high robustness …

Robustness envelopes of networks

S Trajanovski, J Martín-Hernández… - Journal of Complex …, 2013 - academic.oup.com
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 …

Epidemic threshold and topological structure of susceptible-infectious-susceptible epidemics in adaptive networks

D Guo, S Trajanovski, R van de Bovenkamp… - Physical Review E …, 2013 - APS
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 …

Assortativity measures for weighted and directed networks

Y Yuan, J Yan, P Zhang - Journal of Complex Networks, 2021 - academic.oup.com
Assortativity measures the tendency of a vertex in a network being connected by other
vertexes with respect to some vertex-specific features. Classical assortativity coefficients are …

Modularity of Erdős‐Rényi random graphs

C McDiarmid, F Skerman - Random Structures & Algorithms, 2020 - Wiley Online Library
For a given graph G, each partition of the vertices has a modularity score, with higher values
indicating that the partition better captures community structure in G. The modularity q∗(G) of …

A novel measure of edge and vertex centrality for assessing robustness in complex networks

GP Clemente, A Cornaro - Soft Computing, 2020 - Springer
In this work, we propose a novel robustness measure for networks, which we refer to as
Effective Resistance Centrality of a vertex (or an edge), defined as the relative drop of the …

Degree correlation in scale-free graphs

B Fotouhi, MG Rabbat - The European Physical Journal B, 2013 - Springer
We obtain closed form expressions for the expected conditional degree distribution and the
joint degree distribution of the linear preferential attachment model for network growth in the …