40.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of TrentoIT265 papers
- European Centre for Theoretical Studies in Nuclear Physics and Related AreasIT190 papers
- Istituto Nazionale di Fisica Nucleare, Trento Institute for Fundamental Physics And ApplicationsIT136 papers
- Centre National de la Recherche ScientifiqueFR99 papers
- Istituto Nazionale di Fisica NucleareIT74 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR61 papers
- Istituto di Fotonica e NanotecnologieIT59 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT52 papers
- University of PisaIT50 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di MilanoIT46 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT46 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT45 papers
40 papers · 1 filter
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…
Forecasting Seasonal Influenza Epidemics with Physics-Informed Neural Networks
Martina Rama, Gabriele Santin, Giulia Cencetti +2
Accurate epidemic forecasting is critical for informing public health decisions and timely interventions. While Physics-Informed Neural Networks have shown promise in various scien…
Decoding the News Media Diet of Disinformation Spreaders
Anna Bertani, Valeria Mazzeo, Riccardo Gallotti
In the digital era, information consumption is predominantly channeled through online news media disseminated on social media platforms. Understanding the complex dynamics of the n…
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…
Infection patterns in simple and complex contagion processes on networks
Diego Andrés Contreras, Giulia Cencetti, Alain Barrat
Contagion processes, representing the spread of infectious diseases, information, or social behaviors, are often schematized as taking place on networks, which encode for instance…
Temporal clustering of social interactions trades-off disease spreading and knowledge diffusion
Giulia Cencetti, Lorenzo Lucchini, Gabriele Santin +4
Non-pharmaceutical measures such as preventive quarantines, remote working, school and workplace closures, lockdowns, etc. have shown effectivenness from an epidemic control perspe…
When Dialects Collide: How Socioeconomic Mixing Affects Language Use
Thomas Louf, José J. Ramasco, David Sánchez +1
The socioeconomic background of people and how they use standard forms of language are not independent, as demonstrated in various sociolinguistic studies. However, the extent to w…
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…
The Rhythms of Transient Relationships: Allocating time between weekdays and weekends
Valentín Vergara Hidd, Mailun Zhang, Simone Centellegher +3
A fundamental question of any new relationship is, will it last? Transient relationships, recently defined by the authors, are an ideal type of social tie to explore this question:…
Distinguishing simple and complex contagion processes on networks
Giulia Cencetti, Diego Andrés Contreras, Marco Mancastroppa +1
Contagion processes on networks, including disease spreading, information diffusion, or social behaviors propagation, can be modeled as simple contagion, i.e. involving one connect…
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…
Interplay between exogenous triggers and endogenous behavioral changes in contagion processes on social networks
Clara Eminente, Oriol Artime, Manlio De Domenico
In recent years, statistical physics' methodologies have proven extremely successful in offering insights into the mechanisms that govern social interactions. However, the question…
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…
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 Stability of Transient Relationships
Valentin Vergara Hidd, Eduardo Lopez, Simone Centellegher +3
In contrast to long-term relationships, far less is known about the temporal evolution of transient relationships, although these constitute a substantial fraction of people's comm…
Simplicial contagion in temporal higher-order networks
Sandeep Chowdhary, Aanjaneya Kumar, Giulia Cencetti +2
Complex networks represent the natural backbone to study epidemic processes in populations of interacting individuals. Such a modeling framework, however, is naturally limited to p…
Machine learning dismantling and early-warning signals of disintegration in complex systems
Marco Grassia, Manlio De Domenico, Giuseppe Mangioni
From physics to engineering, biology and social science, natural and artificial systems are characterized by interconnected topologies whose features - e.g., heterogeneous connecti…
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…
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…
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…
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…
Networks beyond pairwise interactions: structure and dynamics
Federico Battiston, Giulia Cencetti, Iacopo Iacopini +5
The complexity of many biological, social and technological systems stems from the richness of the interactions among their units. Over the past decades, a great variety of complex…
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…
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…