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Showing 1–9 of 9 results
Advanced filters: Author: Ivan Bonamassa Clear advanced filters
  • Phase transitions are often driven by global changes, but the cause of abrupt ones is unclear. Here, authors show that internal random cascades in interdependent superconducting networks cause abrupt transitions, revealing a metastable plateau and early warning signals of system collapse.

    • Bnaya Gross
    • Irina Volotsenko
    • Aviad Frydman
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-9
  • A dynamic dependency framework describes general interdependent and competitive interactions between nodes in multilayer networks and is used to study spreading phenomena.

    • Michael M. Danziger
    • Ivan Bonamassa
    • Shlomo Havlin
    Research
    Nature Physics
    Volume: 15, P: 178-185
  • In analysis of physically embedded complex networks, their nodes are usually considered as localized spheres connected by links, neglecting possible differences of nodes spatial shapes. The authors develop a representation of physical networks that captures arbitrary node shapes to characterize structural and dynamical network properties.

    • Gábor Pete
    • Ádám Timár
    • Márton Pósfai
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-8
  • Cascading processes accompanied by mixed-order transitions are characteristic for a wide range of ecological, financial, earth, climate, and social systems. To better understand the mechanisms behind, the authors uncover two distinct universality classes of cascades, determined by the global symmetries of the cascading process.

    • I. Bonamassa
    • B. Gross
    • S. Havlin
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-10
  • From airline routes to blood vessels and neural connectomes, the physical layout of a network shapes how it functions and survives damage. Our study shows that spatial disruptions rapidly dismantle networks with elongated links, highlighting the impact of morphology on network robustness.

    • Luka Blagojević
    • Ivan Bonamassa
    • Márton Pósfai
    ResearchOpen Access
    Communications Physics
    Volume: 8, P: 1-13
  • Geometric insights into the structure and function of complex networks have led to exciting developments in network science. This Review Article summarizes progress in network geometry, its theory, and applications to biological, sociotechnical and other real-world networks.

    • Marián Boguñá
    • Ivan Bonamassa
    • M. Ángeles Serrano
    Reviews
    Nature Reviews Physics
    Volume: 3, P: 114-135