Latent Geometry-Driven Network Automata for Complex Network Dismantling
Complex networks model the structure and function of critical technological, biological, and communication systems. Network dismantling, the targeted removal of nodes to fragment a …
Robustness and resilience of complex networks
Complex networks are ubiquitous: a cell, the human brain, a group of people and the Internet are all examples of interconnected many-body systems characterized by macroscopic …
Network Dismantling Review: Code and Data
Code, benchmark networks and reproducibility material associated with the 2024 review on robustness and resilience of complex networks.
Machine learning dismantling and early-warning signals of disintegration in complex systems
From physics to engineering, biology and social science, natural and artificial systems are characterized by interconnected topologies whose features – e.g., heterogeneous …
Network robustness improvement via long-range links
Many systems are today modelled as complex networks, since this representation has been proven being an effective approach for understanding and controlling many real-world …
Long distance connections for ranking and robustness enhancement in networks
Exploiting Long Distance Connections to Strengthen Network Robustness
Network fault tolerance (also known as resilience or robustness) is becoming a highly relevant topic, expecially in real networks, where it is essential to know to what extent it …
On robustness and self-adaptiveness of a socially inspired P2P network
The growing interest for P2P overlay networks in resource sharing rises new challenges for researchers, mainly because those systems are intrinsically different from well-studied …
Network Robustness and Resilience
How can we measure the response of a complex network to failures and targeted interventions, and identify the structures that make it fragile or resilient?
