665 citations · 6.5k across the 71 of their papers we have counts for
35 papers · 1 filter
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…
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…
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…
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…
Quantifying efficient information exchange in real network flows
Giulia Bertagnolli, Riccardo Gallotti, Manlio De Domenico
Network science enables the effective analysis of real interconnected systems, characterized by a complex interplay between topology and interconnections strength. It is well-known…
Network Geometry
Marian Boguna, Ivan Bonamassa, Manlio De Domenico +3
Real networks are finite metric spaces. Yet the geometry induced by shortest path distances in a network is definitely not its only geometry. Other forms of network geometry are th…
Unraveling the Origin of Social Bursts in Collective Attention
Manlio De Domenico, Eduardo G. Altmann
In the era of social media, every day billions of individuals produce content in socio-technical systems resulting in a deluge of information. However, human attention is a limited…
Diffusion geometry unravels the emergence of functional clusters in collective phenomena
Manlio De Domenico
Collective phenomena emerge from the interaction of natural or artificial units with a complex organization. The interplay between structural patterns and dynamics might induce fun…
Modeling Structure and Resilience of the Dark Network
M. De Domenico, A. Arenas
While the statistical and resilience properties of the Internet are no more changing significantly across time, the Darknet, a network devoted to keep anonymous its traffic, still…
Spectral entropies as information-theoretic tools for complex network comparison
Manlio De Domenico, Jacob Biamonte
Any physical system can be viewed from the perspective that information is implicitly represented in its state. However, the quantification of this information when it comes to com…
The physics of spreading processes in multilayer networks
Manlio De Domenico, Clara Granell, Mason A. Porter +1
The study of networks plays a crucial role in investigating the structure, dynamics, and function of a wide variety of complex systems in myriad disciplines. Despite the success of…
Assessing reliable human mobility patterns from higher-order memory in mobile communications
Manlio De Domenico, Joan T. Matamalas, Alex Arenas
Understanding how people move within a geographic area, e.g. a city, a country or the whole world, is fundamental in several applications, from predicting the spatio-temporal evolu…