May 16, 2023 · In this paper, we investigate the empirical prevalence of robust-yet-fragile networks among those generally characterized as scale-free.

In addition to their defining skewed degree distribution, the class of scale-free networks are generally described as robust-yet-fragile.

This description suggests that, compared to random graphs of the same size, scale-free networks are more robust against random failures but more vulnerable to ...

We find that robust-yet-fragile networks are a distinct minority, even among those networks that come closest to being classified as scale-free. Show more.

Here, we report on experiments on a comprehensive collection of networks across different domains that assess the empirical prevalence of scale-free networks ...

The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis. https://doi.org/10.1007/978-3-031-32296-9_7 ·.

May 26, 2023 · The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis. Speaker: Seyedrouzbeh Hasheminezhad, ETH Zürich. Date ...

Author, Hasheminezhad, Seyedrouzbeh. Title, Robustness of Scale-Free Networks. URL, http://hdl.handle.net/20.500.11850/642667. Publication Date, 2023.

Algorithmic analysis of qualitative and quantitative termination ... The myth of the robust-yet-fragile nature of scale-free networks: An empirical analysis.

The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis. Speaker: Seyedrouzbeh Hasheminezhad.