Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–13 of 13 results
Advanced filters: Author: Iacopo Iacopini Clear advanced filters
  • A recent study shows that neural symbolic regression offers a route to automated discovery of governing equations for network dynamics across high-dimensional complex systems.

    • Iacopo Iacopini
    • Eugenio Valdano
    News & Views
    Nature Computational Science
    P: 1-2
  • The structure and dynamics of many social systems where human interactions involve communities can be described by higher-order networks. The authors propose a hypergraph-based model that describes how individuals form groups and navigate between groups of different sizes.

    • Iacopo Iacopini
    • Márton Karsai
    • Alain Barrat
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-11
  • Networks with higher-order interactions provide better description of social and biological systems, however tools to analyze their function still need to be developed. The authors introduce here a decomposition of network in hyper-cores, that gives better understanding of spreading processes and can be applied to fingerprint real-world datasets.

    • Marco Mancastroppa
    • Iacopo Iacopini
    • Alain Barrat
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-12
  • We explore the world in search of novelties, which are traditionally defined as the first appearance of a new element in a sequence of exploration. The authors show that novelty can also arise from combining already known elements, introducing the concept of higher-order novelties as the first appearance of such combinations in the sequence. They propose a measure and model to study the dynamics of these higher-order novelties.

    • Gabriele Di Bona
    • Alessandro Bellina
    • Vito Latora
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-12
  • Pre-exposure prophylaxis (PrEP) is an effective HIV prevention measure but identifying those most at risk to target for treatment is challenging. Here, the authors demonstrate that non-selective PrEP distribution outperforms targeted strategies when use is not consistent, and/or prevalence of untreated HIV is high.

    • Benjamin Steinegger
    • Iacopo Iacopini
    • Eugenio Valdano
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-9
  • Social contagion cannot only be understood in terms of pairwise interactions among individuals. Here, the authors include higher-order social interactions, the effects of groups, in their model of social contagion, enabling insight into why critical masses are required to initiate social changes.

    • Iacopo Iacopini
    • Giovanni Petri
    • Vito Latora
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-9
  • Network representations of complex systems are limited to pairwise interactions, but real-world systems often involve higher-order interactions. This Perspective looks at the new physics emerging from attempts to characterize these interactions.

    • Federico Battiston
    • Enrico Amico
    • Giovanni Petri
    Reviews
    Nature Physics
    Volume: 17, P: 1093-1098
  • Group interactions can dramatically alter social contagion dynamics and lead to the emergence of new phenomena like abrupt transitions and critical mass effects. The authors develop an approximate master equation framework to analytically describe contagion in heterogeneous hypergraphs and study the impact of large influential groups in seeding and sustaining epidemics.

    • Guillaume St-Onge
    • Iacopo Iacopini
    • Laurent Hébert-Dufresne
    ResearchOpen Access
    Communications Physics
    Volume: 5, P: 1-16
  • Critical mass dynamics, where a minority of committed individuals reaching a critical size can overturn stable social conventions, is typically modelled by taking into account pairwise interactions only. Here, the authors generalise the Naming Game model to higher-order social interactions, and show both numerically and analytically how the interplay of local interactions and group size influences global social outcomes.

    • Iacopo Iacopini
    • Giovanni Petri
    • Alain Barrat
    ResearchOpen Access
    Communications Physics
    Volume: 5, P: 1-10