665 citations · 6.5k across the 71 of their papers we have counts for
71 papers
Large-Language Models as a Cognitive Virus
Ricard Solé, Giulio Ruffini, Francesca Castaldo +6
Large-language models (LLMs) are rapidly becoming part of human culture, reshaping how information is produced, transmitted, and used. Here we propose that their diffusion can be u…
Climate change and human mobility will shape dengue emergence risk in Europe
Charley Presigny, Paolo Baglioni, Pietro Rotondo +3
The risk of local arbovirus outbreaks in Europe is expected to increase due to climate change, as suggested by the multiplication of arbovirus outbreaks in the last decades. Europe…
muxvizpy: a Python library for the analysis of multilayer biological networks
Matteo Baldan, Francesco Zambelli, Andrea Valsecchi +4
Biological systems are inherently multilayered: the same entities---genes, cells, or bacterial species---participate simultaneously in qualitatively distinct types of interactions,…
Scaling laws in complex component systems as consequences of heterogeneous sampling
Luca Allegri, Johannes Nauta, Manlio De Domenico
Complex component systems are collections of discrete units such as species, words, genes, whose observed realizations are naturally summarized by component counts. Many empirical…
Graphs are maximally expressive for higher-order interactions
Tiago P. Peixoto, Leto Peel, Thilo Gross +1
We demonstrate that graph-based models are fully capable of representing higher-order interactions, and have a long history of being used for precisely this purpose. This stands in…
Measuring the co-evolution of online engagement with (mis)information and its visibility at scale
Yueting Han, Paolo Turrini, Marya Bazzi +3
Online attention is an increasingly valuable resource in the digital age, with extraordinary events such as the COVID-19 pandemic fuelling fierce competition around it. As misinfor…
Challenges and opportunities for digital twins in precision medicine: a complex systems perspective
Manlio De Domenico, Luca Allegri, Guido Caldarelli +6
The adoption of digital twins (DTs) in precision medicine is increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside…
Topological conditions drive stability in meta-ecosystems
Johannes Nauta, Manlio De Domenico
On a global level, ecological communities are being perturbed at an unprecedented rate by human activities and environmental instabilities. Yet, we understand little about what fac…
Effective one-dimension reduction of multi-compartment complex systems dynamics
Giorgio Vittorio Visco, Johannes Nauta, Tomas Scagliarini +2
A broad class of systems, including ecological, epidemiological, and sociological ones, are characterized by populations of individuals assigned to specific categories, e.g., a che…
Reducibility of higher-order networks from dynamics
Maxime Lucas, Luca Gallo, Arsham Ghavasieh +2
Empirical complex systems can be characterized not only by pairwise interactions, but also by higher-order (group) interactions influencing collective phenomena, from metabolic rea…
Multilayer Network Science: from Cells to Societies
Oriol Artime, Barbara Benigni, Giulia Bertagnolli +5
Networks are convenient mathematical models to represent the structure of complex systems, from cells to societies. In the past decade, multilayer network science -- the branch of…
Unraveling the role of adapting risk perception during the COVID-19 pandemic in Europe
Bastian Heinlein, Manlio De Domenico
During the COVID-19 pandemic, the behavioral response to reported case numbers changed drastically over time. While a few dozen cases were enough to trigger government-induced and…
Diversity of information pathways drives scaling and sparsity in real-world networks
Arsham Ghavasieh, Manlio De Domenico
Empirical complex systems must differentially respond to external perturbations and, at the same time, internally distribute information to coordinate their components. While netwo…
Complex information dynamics of epidemic spreading in low-dimensional networks
Wout Merbis, Manlio de Domenico
The statistical field theory of information dynamics on complex networks concerns the dynamical evolution of large classes of models of complex systems. Previous work has focused o…
Emergent information dynamics in many-body interconnected systems
Wout Merbis, Manlio de Domenico
The information implicitly represented in the state of physical systems allows one to analyze them with analytical techniques from statistical mechanics and information theory. In…
Emergence of complex network topologies from flow-weighted optimization of network efficiency
Sebastiano Bontorin, Giulia Cencetti, Riccardo Gallotti +2
Transportation and distribution networks are a class of spatial networks that have been of interest in recent years. These networks are often characterized by the presence of compl…
Generalized network density matrices for analysis of multiscale functional diversity
Arsham Ghavasieh, Manlio De Domenico
The network density matrix formalism allows for describing the dynamics of information on top of complex structures and it has been successfully used to analyze from system's robus…
Ranking Edges by their Impact on the Spectral Complexity of Information Diffusion over Networks
Jeremy Kazimer, Manlio de Domenico, Peter J. Mucha +1
Despite the numerous ways now available to quantify which parts or subsystems of a network are most important, there remains a lack of centrality measures that are related to the c…
Non-Markovian random walks characterize network robustness to nonlocal cascades
Angelo Valente, Manlio De Domenico, Oriol Artime
Localized perturbations in a real-world network have the potential to trigger cascade failures at the whole system level, hindering its operations and functions. Standard approache…
The political economy of big data leaks: Uncovering the skeleton of tax evasion
Pier Luigi Sacco, Alex Arenas, Manlio De Domenico
After the leak of 11.5 million documents from the Panamanian corporation Mossack Fonseca, an intricate network of offshore business entities has been revealed. The emerging picture…
The voice of few, the opinions of many: evidence of social biases in Twitter COVID-19 fake news sharing
Piergiorgio Castioni, Giulia Andrighetto, Riccardo Gallotti +2
Online platforms play a relevant role in the creation and diffusion of false or misleading news. Concerningly, the COVID-19 pandemic is shaping a communication network - barely con…
Mapping flows on hypergraphs
Anton Eriksson, Daniel Edler, Alexis Rojas +1
Hypergraphs offer an explicit formalism to describe multibody interactions in complex systems. To connect dynamics and function in systems with these higher-order interactions, net…
Unraveling the effects of multiscale network entanglement on disintegration of empirical systems
Arsham Ghavasieh, Massimo Stella, Jacob Biamonte +1
Complex systems are large collections of entities that organize themselves into non-trivial structures that can be represented by networks. A key emergent property of such systems…
Compressing phase space detects state changes in nonlinear dynamical systems
Valeria d'Andrea, Manlio De Domenico
Equations governing the nonlinear dynamics of complex systems are usually unknown and indirect methods are used to reconstruct their manifolds. In turn, they depend on embedding pa…