Robustness estimation is critical for the design and maintenance of resilient networks.
Existing studies on network robustness usually exploit a single network metric to generate …

Analyzing the robustness of networks against random failures or malicious attacks is a
critical research issue in network science, as it contributes to enhancing the robustness of …

The robustness is an important functionality of networks because it manifests the ability of
networks to resist failures or attacks. Many robustness measures have been proposed from …

Robustness is pivotal for comprehending, designing, optimizing, and rehabilitating networks,
with simulation attacks being the prevailing evaluation method. Simulation attacks are often …

In the past decades, there has been much interest in the elasticity of infrastructures to
targeted and random attacks. In the recent work by Schneider CM et al., Proc. Natl. Acad …

Network robustness is critical for various industrial and social networks against malicious
attacks, which has various meanings in different research contexts and here it refers to the …

In a recent work, Schneider et al.(2011) proposed a new measure R for network robustness,
where the value of R is calculated within the entire process of malicious node attacks. In this …

Infrastructure networks such as the Internet backbone and power grids are essential for our
everyday lives. With the prevalence of cyber-attacks on them, measuring their robustness …

This paper deals with selecting the most relevant metrics with which to measure the
robustness of a network. Although earlier efforts have also attempted to do this, there is still …

Network robustness plays a crucial role in our understanding of complex interconnected
systems such as transportation, communication, and computer networks. While significant …