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Complex Systems Science

Complex Systems Science is a cross-disciplinary endeavor, linking researchers in physics, computer science, and mathematics with applications in diverse areas such as information and communication technologies, epidemiology, social sciences, economics, and many more. The discovery of the laws governing the structure and dynamics of complex systems is one of the greatest challenges of modern science. These systems are characterized by the presence of different levels of self-organization, each determining the behavior of the next. One of the most important properties of complex systems is the impossibility to predict their overall behavior from the knowledge of the properties of their components. Understanding and predicting the behavior of these systems is of great importance in contexts as diverse as socio-economic, biological or technological fields. The science of complex systems not only provides a way to answer open questions, but also promotes a new language and concepts that will allow the tackling of many current and pressing problems. 


recent publications

The geometric nature of weights in real complex networks

Antoine Allard, M. Ángeles Serrano, Guillermo García-Pérez and Marián Boguñá
Nature Communications 8 14103 (2017)


Quantification of network structural dissimilarities

Tiago A. Schieber, Laura Carpi, Albert Díaz-Guilera, Panos M. Pardalos, Cristina Masoller & Martín G. Ravetti
Nature Communications 8 13928 (2017)


Synchronization in Dynamical Networks of Locally Coupled Self-Propelled Oscillators

Demian Levis, Ignacio Pagonabarraga, and Albert Díaz-Guilera
Phys. Rev. X 7 011028 (2017)


Chimera-like states in modular neural networks

Johanne Hizanidis, Nikos E. Kouvaris, Gorka Zamora-López, Albert Díaz-Guilera & Chris G. Antonopoulos
Scientific Reports 6 19845 (2016)


The hidden hyperbolic geometry of international trade: World Trade Atlas 1870–2013

Guillermo García-Pérez, Marián Boguñá, Antoine Allard, and M. Ángeles Serrano
Scientific Reports 6 33441 (2016)


Competition between global and local online social networks

Kaj-Kolja Kleineberg & Marián Boguñá
Sci. Rep. 6 25116 (2016)


Hidden geometric correlations in real multiplex networks

Kaj-Kolja Kleineberg, Marián Boguñá, M. Ángeles Serrano & Fragkiskos Papadopoulos
Nature Physics doi:10.1038/nphys3812 (2016)