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20012025
most citedMathematical Formulation of Multi-Layer Networks

939 citations · 1.7k across the 15 of their papers we have counts for

collaborators

18 papers

physics.soc-ph2025

Modeling Public Opinion Dynamics: The Spiral of silence in clustered homophilic networks

Juan Castillo, Emanuele Cozzo

Public discourse emerges from the interplay between individuals' willingness to voice their opinions and the structural features of the social networks in which they are embedded.…

cs.SI2020★ 4 cited

Characterizing Twitter users behaviour during the Spanish Covid-19 first wave

Bernat Esquirol, Luce Prignano, Albert Díaz-Guilera +1

People use Online Social Media to make sense of crisis events. A pandemic crisis like the Covid-19 outbreak is a complex event, involving numerous aspects of the social life on mul…

physics.soc-ph2019★ 6 cited

Layer degradation triggers an abrupt structural transition in multiplex networks

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

Network robustness is a central point in network science, both from a theoretical and a practical point of view. In this paper, we show that layer degradation, understood as the co…

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-ph2018

A complex network framework to model cognition: unveiling correlation structures from connectivity

Gemma Rosell-Tarragó, Emanuele Cozzo, Albert Díaz-Guilera

Several approaches to cognition and intelligence research rely on statistics-based models testing, namely factor analysis. In the present work we exploit the emerging dynamical sys…

physics.soc-ph2016★ 4 cited

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.…

physics.soc-ph2016★ 26 cited

Levy random walks on multiplex networks

Quantong Guo, Emanuele Cozzo, Zhiming Zheng +1

Random walks constitute a fundamental mechanism for many dynamics taking place on complex networks. Besides, as a more realistic description of our society, multiplex networks have…

physics.soc-ph2016★ 21 cited

Characterization of multiple topological scales in multiplex networks through supra-Laplacian eigengaps

E. Cozzo, Y. Moreno

Multilayer networks have been the subject of intense research during the last few years, as they represent better the interdependent nature of many real world systems. Here, we add…

physics.soc-ph2015★ 104 cited

Disease Localization in Multilayer Networks

Guilherme Ferraz de Arruda, Emanuele Cozzo, Tiago P. Peixoto +2

We present a continuous formulation of epidemic spreading on multilayer networks using a tensorial representation, extending the models of monoplex networks to this context. We der…

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.soc-ph2013★ 71 cited

Dimensionality reduction and spectral properties of multilayer networks

Rubén J. Sánchez-García, Emanuele Cozzo, Yamir Moreno

Network representations are useful for describing the structure of a large variety of complex systems. Although most studies of real-world networks suppose that nodes are connected…

physics.soc-ph2013★ 145 cited

Structure of Triadic Relations in Multiplex Networks

Emanuele Cozzo, Mikko Kivelä, Manlio De Domenico +5

Recent advances in the study of networked systems have highlighted that our interconnected world is composed of networks that are coupled to each other through different "layers" t…

physics.soc-ph2013★ 939 cited

Mathematical Formulation of Multi-Layer Networks

Manlio De Domenico, Albert Solè-Ribalta, Emanuele Cozzo +5

A network representation is useful for describing the structure of a large variety of complex systems. However, most real and engineered systems have multiple subsystems and layers…

physics.soc-ph2013★ 277 cited

Contact-based Social Contagion in Multiplex Networks

E. Cozzo, R. A. Baños, S. Meloni +1

We develop a theoretical framework for the study of epidemic-like social contagion in large scale social systems. We consider the most general setting in which different communicat…

physics.soc-ph2012★ 79 cited

Stability of Boolean Multilevel Networks

Emanuele Cozzo, Alex Arenas, Yamir Moreno

The study of the interplay between the structure and dynamics of complex multilevel systems is a pressing challenge nowadays. In this paper, we use a semi-annealed approximation to…

physics.bio-ph2012

Topological effects of data incompleteness of gene regulatory networks

J. Sanz, E. Cozzo, J. Borge-Holthoefer +1

The topological analysis of biological networks has been a prolific topic in network science during the last decade. A persistent problem with this approach is the inherent uncerta…

physics.atom-ph2001★ 1 cited

Solution of the two identical ion Penning trap final state

W. Blackburn, T. L. Brown, E. Cozzo +2

We have derived a closed form analytic expression for the asymptotic motion of a pair of identical ions in a high precision Penning trap. The analytic solution includes the effects…