activity
20092021
most citedThe physics of higher-order interactions in complex systems

938 citations · 944 across the 4 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2021938 cited

The physics of higher-order interactions in complex systems

Federico Battiston, Enrico Amico, Alain Barrat +11

Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, w…

q-bio.QM2020

Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline induced epileptiform activity

Manuel Ciba, Robert Bestel, Christoph Nick +6

As synchronized activity is associated with basic brain functions and pathological states, spike train synchrony has become an important measure to analyze experimental neuronal da…

physics.soc-ph2018

A polynomial eigenvalue approach for multiplex networks

Guilherme Ferraz de Arruda, Emanuele Cozzo, Francisco A. Rodrigues +1

We explore the block nature of the matrix representation of multiplex networks, introducing a new formalism to deal with its spectral properties as a function of the inter-layer co…

physics.soc-ph2015

On degree-degree correlations in multilayer networks

Guilherme Ferraz de Arruda, Emanuele Cozzo, Yamir Moreno +1

We propose a generalization of the concept of assortativity based on the tensorial representation of multilayer networks, covering the definitions given in terms of Pearson and Spe…

physics.soc-ph2015

Multilayer networks: metrics and spectral properties

Emanuele Cozzo, Guilherme Ferraz de Arruda, Francisco A. Rodrigues +1

Multilayer networks represent systems in which there are several topological levels each one representing one kind of interaction or interdependency between the systems' elements.…

physics.data-an20114 cited

A Complex Networks Approach for Data Clustering

Francisco A. Rodrigues, Guilherme Ferraz de Arruda, Luciano da Fontoura Costa

Many methods have been developed for data clustering, such as k-means, expectation maximization and algorithms based on graph theory. In this latter case, graphs are generally cons…