A
Albert Díaz-Guilera
Researcher at University of Barcelona
Publications - 171
Citations - 16898
Albert Díaz-Guilera is an academic researcher from University of Barcelona. The author has contributed to research in topics: Complex network & Synchronization (computer science). The author has an hindex of 42, co-authored 168 publications receiving 15286 citations. Previous affiliations of Albert Díaz-Guilera include Harvard University & Autonomous University of Barcelona.
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Journal ArticleDOI
Synchronization in complex networks
Alex Arenas,Alex Arenas,Albert Díaz-Guilera,Albert Díaz-Guilera,Jürgen Kurths,Jürgen Kurths,Yamir Moreno,Changsong Zhou +7 more
TL;DR: The advances in the comprehension of synchronization phenomena when oscillating elements are constrained to interact in a complex network topology are reported and the new emergent features coming out from the interplay between the structure and the function of the underlying pattern of connections are overviewed.
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Comparing community structure identification
TL;DR: It is found that the most accurate methods tend to be more computationally expensive, and that both aspects need to be considered when choosing a method for practical purposes.
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Self-similar community structure in a network of human interactions
TL;DR: The results reveal the self-organization of the network into a state where the distribution of community sizes is self-similar, suggesting that a universal mechanism, responsible for emergence of scaling in other self-organized complex systems, as, for instance, river networks, could also be the underlying driving force in the formation and evolution of social networks.
Journal ArticleDOI
Comparing community structure identification
TL;DR: In this article, the authors compare several approaches to community structure identification in terms of sensitivity and computational cost, and find that the most accurate methods tend to be more computationally expensive, and that both aspects need to be considered when choosing a method for practical purposes.
Journal ArticleDOI
Diffusion dynamics on multiplex networks.
Sergio Gómez,Albert Díaz-Guilera,Albert Díaz-Guilera,Jesús Gómez-Gardeñes,Conrad J. Pérez-Vicente,Yamir Moreno,Alex Arenas,Alex Arenas +7 more
TL;DR: P perturbative analysis is used to reveal analytically the structure of eigenvectors and eigenvalues of the complete network in terms of the spectral properties of the individual layers of the multiplex network, and allows us to understand the physics of diffusionlike processes on top of multiplex networks.