activity
20172026
most citedNetwork Geometry

224 citations · 480 across the 16 of their papers we have counts for

collaborators

16 papers

cond-mat.stat-mech2026

Localization transitions of diffusion dynamics in physical networks

Jun Yamamoto, Ivan Bonamassa, Márton Pósfai

Network diffusion underlies many transport phenomena, with Laplacian modes setting how information spreads and relaxes. In physical networks, however, connectivity alone is not eno…

cond-mat.stat-mech2024★ 1 cited

Network dismantling by physical damage

Luka Blagojević, Ivan Bonamassa, Márton Pósfai

We explore the robustness of complex networks against physical damage. We focus on spatially embedded network models and datasets where links are physical objects or physically tra…

physics.soc-ph2024

The microscopic origin of abrupt transitions in interdependent systems

Bnaya Gross, Irina Volotsenko, Yuval Sallem +4

Phase transitions are fundamental features of statistical physics. While the well-studied continuous phase transitions are known to be controlled by external \textit{macroscopic} c…

physics.soc-ph2023

Dynamics of cascades in spatial interdependent networks

Bnaya Gross, Ivan Bonamassa, Shlomo Havlin

The dynamics of cascading failures in spatial interdependent networks significantly depend on the interaction range of dependency couplings between layers. In particular, for incre…

physics.soc-ph2023

Microscopic intervention yields abrupt transition in interdependent magnetic networks

Bnaya Gross, Ivan Bonamassa, Shlomo Havlin

The study of interdependent networks has recently experienced a boost with the development of experimentally testable materials that physically realize their critical behaviors, ca…

cond-mat.stat-mech2023★ 17 cited

Physical networks as network-of-networks

Gábor Pete, Ádám Timár, Sigurdur Örn Stefánsson +2

Physical networks are made of nodes and links that are physical objects embedded in a geometric space. Understanding how the mutual volume exclusion between these elements affects…

cond-mat.dis-nn2022★ 19 cited

Fractal fluctuations at mixed-order transitions in interdependent networks

Bnaya Gross, Ivan Bonamassa, Shlomo Havlin

We study the geometrical features of the order parameter's fluctuations near the critical point of mixed-order phase transitions in randomly interdependent spatial networks. In con…

cond-mat.dis-nn2022

Interdependent Superconducting Networks

I. Bonamassa, B. Gross, M. Laav +3

Cascades are self-amplifying processes triggered by feedback mechanisms that may cause a substantial part of a macroscopic system to change its phase in response of a relatively sm…

cond-mat.dis-nn2021★ 4 cited

Realizing interdependent couplings as thermal or higher-order interactions

Ivan Bonamassa, Bnaya Gross, Shlomo Havlin

Interdependence is a fundamental ingredient to analyze the stability of many real-world complex systems featuring functional liasons. Yet, physical realizations of this coupling ar…

physics.soc-ph2020★ 10 cited

Interdependent transport via percolation backbones in spatial networks

Bnaya Gross, Ivan Bonamassa, Shlomo Havlin

The functionality of nodes in a network is often described by the structural feature of belonging to the giant component. However, when dealing with problems like transport, a more…

physics.soc-ph2020

Geometric characterization of SARS-CoV-2 pandemic events

Ivan Bonamassa, Marcello Calvanese Strinati, Adrian Chan +4

While the SARS-CoV-2 keeps spreading world-wide, comparing its evolution across different nations is a timely challenge of both theoretical and practical importance. The large vari…

physics.soc-ph2020★ 224 cited

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…

cond-mat.stat-mech2018★ 4 cited

Spontaneous repulsion in the reaction on coupled networks

Filippos Lazaridis, Bnaya Gross, Michael Maragakis +4

We study the transient dynamics of an process on a pair of randomly coupled networks, where reactants are initially separated. We find that, for sufficiently sm…

physics.soc-ph2017★ 9 cited

Critical field-exponents for secure message-passing in modular networks

Louis M. Shekhtman, Michael M. Danziger, Ivan Bonamassa +4

We study secure message-passing in the presence of multiple adversaries in modular networks. We assume a dominant fraction of nodes in each module have the same vulnerability, i.e.…

cond-mat.stat-mech2017★ 175 cited

Dynamic interdependence and competition in multilayer networks

Michael M. Danziger, Ivan Bonamassa, Stefano Boccaletti +1

From critical infrastructure, to physiology and the human brain, complex systems rarely occur in isolation. Instead, the functioning of nodes in one system often promotes or suppre…

physics.soc-ph2017★ 17 cited

Critical stretching of mean-field regimes in spatial networks

Ivan Bonamassa, Bnaya Gross, Michael M. Danziger +1

We study a spatial network model with exponentially distributed link-lengths on an underlying grid of points, undergoing a structural crossover from a random, Erdős--Rényi graph to…