activity
20152021
most citedRare events statistics of random walks on networks: localization and other dynamical phase transitions

2 citations · 2 across the 1 of their papers we have counts for

collaborators

6 papers

cond-mat.stat-mech2021

Cavity and replica methods for the spectral density of sparse symmetric random matrices

Vito A R Susca, Pierpaolo Vivo, Reimer Kühn

We review the problem of how to compute the spectral density of sparse symmetric random matrices, i.e. weighted adjacency matrices of undirected graphs. Starting from the Edwards-J…

physics.soc-ph2019

Opinion dynamics with memory: how a society is shaped by its own past

Gioia Boschi, Chiara Cammarota, Reimer Kühn

In order to understand the development of common orientation of opinions in the modern world we propose a model of a society described as a large collection of agents that exchange…

cond-mat.dis-nn2019

Glassy dynamics on networks: local spectra and return probabilities

Riccardo Giuseppe Margiotta, Reimer Kühn, Peter Sollich

The slow relaxation and aging of glassy systems can be modelled as a Markov process on a simplified rough energy landscape: energy minima where the system tends to get trapped are…

cond-mat.dis-nn2018

Statistical analysis of articulation points in configuration model networks

Ido Tishby, Ofer Biham, Reimer Kühn +1

An articulation point (AP) in a network is a node whose deletion would split the network component on which it resides into two or more components. APs are vulnerable spots that pl…

cond-mat.dis-nn2018

Spectral properties of the trap model on sparse networks

Riccardo Giuseppe Margiotta, Reimer Kühn, Peter Sollich

One of the simplest models for the slow relaxation and aging of glasses is the trap model by Bouchaud and others, which represents a system as a point in configuration-space hoppin…

cond-mat.stat-mech20152 cited

Rare events statistics of random walks on networks: localization and other dynamical phase transitions

Caterina De Bacco, Alberto Guggiola, Reimer Kühn +1

Rare event statistics for random walks on complex networks are investigated using the large deviations formalism. Within this formalism, rare events are realized as typical events…