938 citations · 980 across the 8 of their papers we have counts for
10 papers
Multilayer network science: theory, methods, and applications
Alberto Aleta, Andreia Sofia Teixeira, Guilherme Ferraz de Arruda +14
Multilayer network science has emerged as a central framework for analysing interconnected and interdependent complex systems. Its relevance has grown substantially with the increa…
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…
Social contagion on higher-order structures
Alain Barrat, Guilherme Ferraz de Arruda, Iacopo Iacopini +1
In this Chapter, we discuss the effects of higher-order structures on SIS-like processes of social contagion. After a brief motivational introduction where we illustrate the standa…
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…
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…
Unifying Markov Chain Approach for Disease and Rumor Spreading in Complex Networks
Guilherme Ferraz de Arruda, Francisco A. Rodrigues, Pablo Martin Rodriiguez +2
Spreading processes are ubiquitous in natural and artificial systems. They can be studied via a plethora of models, depending on the specific details of the phenomena under study.…
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…
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.…
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…
An entropy-based approach to automatic image segmentation of satellite images
A. L. Barbieri, G. Arruda, F. A. Rodrigues +2
An entropy-based image segmentation approach is introduced and applied to color images obtained from Google Earth. Segmentation refers to the process of partitioning a digital imag…