activity
20162025
most citedRobustness and resilience of complex networks

642 citations · 1.5k across the 14 of their papers we have counts for

collaborators

15 papers

physics.bio-ph2025★ 5 cited

Decoding the Architecture of Living Systems

Manlio De Domenico

The possibility that evolutionary forces -- together with a few fundamental factors such as thermodynamic constraints, specific computational features enabling information processi…

physics.soc-ph2025★ 642 cited

Robustness and resilience of complex networks

Oriol Artime, Marco Grassia, Manlio De Domenico +5

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 prope…

physics.soc-ph2025

Latent geometry emerging from network-driven processes

Andrea Filippo Beretta, Davide Zanchetta, Sebastiano Bontorin +1

Understanding network functionality requires integrating structure and dynamics, and emergent latent geometry induced by network-driven processes captures the low-dimensional space…

cond-mat.dis-nn2025★ 1 cited

Bifurcations and Phase Transitions in the Origins of Life

Ricard Solé, Manlio De Domenico

The path toward the emergence of life in our biosphere involved several key events allowing for the persistence, reproduction and evolution of molecular systems. All these processe…

physics.soc-ph2022★ 73 cited

From the origin of life to pandemics: Emergent phenomena in complex systems

Oriol Artime, Manlio De Domenico

When a large number of similar entities interact among each other and with their environment at a low scale, unexpected outcomes at higher spatio-temporal scales might spontaneousl…

physics.soc-ph2022

Dismantling the information flow in complex interconnected systems

Arsham Ghavasieh, Giulia Bertagnolli, Manlio De Domenico

Microscopic structural damage, such as lesions in neural systems or disruptions in urban transportation networks, can impair the dynamics crucial for systems' functionality, such a…

cond-mat.stat-mech2021★ 31 cited

Percolation on feature-enriched interconnected systems

Oriol Artime, Manlio De Domenico

Percolation is an emblematic model to assess the robustness of interconnected systems when some of their components are corrupted. It is usually investigated in simple scenarios, s…

physics.soc-ph2020★ 54 cited

Statistical physics of complex information dynamics

Arsham Ghavasieh, Carlo Nicolini, Manlio De Domenico

The constituents of a complex system exchange information to function properly. Their signalling dynamics often leads to the appearance of emergent phenomena, such as phase transit…

physics.soc-ph2020★ 21 cited

Abrupt transition due to non-local cascade propagation in multiplex systems

Oriol Artime, Manlio De Domenico

Multilayer systems are coupled networks characterized by different contexts (layers) of interaction and have gained much attention recently due to their suitability to describe a b…

physics.soc-ph2020★ 23 cited

Diffusion geometry of multiplex and interdependent systems

Giulia Bertagnolli, Manlio De Domenico

Complex networks are characterized by latent geometries induced by their topology or by the dynamics on the top of them. In the latter case, different network-driven processes indu…

physics.soc-ph2020★ 24 cited

Effectiveness of dismantling strategies on moderated vs. unmoderated online social platforms

Oriol Artime, Valeria d'Andrea, Riccardo Gallotti +2

Online social networks are the perfect test bed to better understand large-scale human behavior in interacting contexts. Although they are broadly used and studied, little is known…

physics.soc-ph2020★ 581 cited

Assessing the risks of "infodemics" in response to COVID-19 epidemics

Riccardo Gallotti, Francesco Valle, Nicola Castaldo +2

Our society is built on a complex web of interdependencies whose effects become manifest during extraordinary events such as the COVID-19 pandemic, with shocks in one system propag…

q-bio.MN2018★ 2 cited

Multilayer flows in molecular networks identify biological modules in the human proteome

Giuseppe Mangioni, Giuseppe Jurman, Manlio De Domenico

A variety of complex systems exhibit different types of relationships simultaneously that can be modeled by multiplex networks. A typical problem is to determine the community stru…

physics.soc-ph2017

Multiplex model of mental lexicon reveals explosive learning in humans

Massimo Stella, Nicole M. Beckage, Markus Brede +1

Word similarities affect language acquisition and use in a multi-relational way barely accounted for in the literature. We propose a multiplex network representation of this mental…

cs.SI2016

Quantifying the Diaspora of Knowledge in the Last Century

Manlio De Domenico, Elisa Omodei, Alex Arenas

Academic research is driven by several factors causing different disciplines to act as "sources" or "sinks" of knowledge. However, how the flow of authors' research interests -- a…