642 citations · 853 across the 14 of their papers we have counts for
16 papers
Opinion dynamics under large-scale exogenous events
Gerard Argany Herrera, Lucila G. Alvarez-Zuzek, Oriol Artime
Large-scale events such as political scandals or misinformation campaigns can abruptly shift the collective opinion of a population and reshape the dynamics in ways that standard l…
Multilayer network science: theory, methods, and applications
Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14
Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…
The Physics of News, Rumors, and Opinions
Guido Caldarelli, Oriol Artime, Giulia Fischetti +5
The boundaries between physical and social networks have narrowed with the advent of the Internet and its pervasive platforms. This has given rise to a complex adaptive information…
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…
Universal roughness and the dynamics of urban expansion
Ulysse Marquis, Oriol Artime, Riccardo Gallotti +1
Urban sprawl reshapes cities, yet its quantitative laws remain elusive. Analyzing built-up expansion in 19 cities (1985-2015) with tools from surface growth physics in radial geome…
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…
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…
Efficient network exploration by means of resetting self-avoiding random walkers
Gaia Colombani, Giulia Bertagnolli, Oriol Artime
The self-avoiding random walk (SARW) is a stochastic process whose state variable avoids returning to previously visited states. This non-Markovian feature has turned SARWs a power…
Stochastic resetting in a networked multiparticle system with correlated transitions
Oriol Artime
The state of many physical, biological and socio-technical systems evolves by combining smooth local transitions and abrupt resetting events to a set of reference values. The inclu…
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…
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…
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…
Multiscale statistical physics of the Human-SARS-CoV-2 interactome
Arsham Ghavasieh, Sebastiano Bontorin, Oriol Artime +1
Protein-protein interaction (PPI) networks have been used to investigate the influence of SARS-CoV-2 viral proteins on the function of human cells, laying out a deeper understandin…
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…