3.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- V. Martín-Mayor2 profiles81 · h 41
- Y. Moreno67 · h 74
- L. A. Fernández2 profiles50 · h 28
- J. Ruiz-Lorenzo47 · h 32
- D. Yllanes36 · h 25
- A. Tarancón32 · h 29
- E. Marinari2 profiles32 · h 50
- G. Parisi2 profiles31 · h 101
- J. Gómez-Gardeñes2 profiles31 · h 58
- A. Maiorano2 profiles30 · h 24
- B. Seoane27 · h 22
- A. Cruz23 · h 19
- Universidad de ZaragozaES293 papers
- Universidad Complutense de MadridES99 papers
- Sapienza University of RomeIT69 papers
- Universidad de ExtremaduraES63 papers
- Institute for Scientific InterchangeIT46 papers
- Universidad Carlos III de MadridES40 papers
- Fundacion Agencia Aragonesa para la Investigacion y el DesarrolloES37 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT35 papers
- Centre National de la Recherche ScientifiqueFR34 papers
- Consejo Superior de Investigaciones CientíficasES30 papers
- Universitat Rovira i VirgiliES25 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FerraraIT23 papers
6 papers · 2 filters
The role of time scale in the spreading of asymmetrically interacting diseases
Paulo Cesar Ventura, Yamir Moreno, Francisco A. Rodrigues
Diseases and other contagion phenomena in nature and society can interact asymmetrically, such that one can benefit from the other, which in turn impairs the first, in analogy with…
Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks
Guilherme Ferraz de Arruda, J. A. Méndez-Bermúdez, Francisco A. Rodrigues +1
Universal spectral properties of multiplex networks allow us to assess the nature of the transition between disease-free and endemic phases in the SIS epidemic spreading model. In…
Prediction of scientific collaborations through multiplex interaction networks
Marta Tuninetti, Alberto Aleta, Daniela Paolotti +2
Link prediction algorithms can help to understand the structure and dynamics of scientific collaborations and the evolution of Science. However, available algorithms based on simil…
Data-driven contact structures: from homogeneous mixing to multilayer networks
Alberto Aleta, Guilherme Ferraz de Arruda, Yamir Moreno
The modeling of the spreading of communicable diseases has experienced significant advances in the last two decades or so. This has been possible due to the proliferation of data a…
Evolutionary dynamics of higher-order interactions in social networks
Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda +3
We live and cooperate in networks. However, links in networks only allow for pairwise interactions, thus making the framework suitable for dyadic games, but not for games that are…
Quantifying Uncertainty in a Predictive Model for Popularity Dynamics
Joseph D. O'Brien, Alberto Aleta, Yamir Moreno +1
The Hawkes process has garnered attention in recent years for its suitability to describe the behavior of online information cascades. Here, we present a fully tractable approach t…