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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

Functionability in complex networks: Leading nodes for the transition from structural to functional networks through remote asynchronization

Gemma Rosell-Tarrago, Albert Diaz-Guilera
Chaos 30 013105 (2020)

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Benchmarking seeding strategies for spreading processes in social networks: an interplay between influencers, topologies and sizes

Montes, F.; Jaramillo, A.M.; Meisel, J.D.; Diaz-Guilera, A.; Valdivia, J.A.; Sarmiento, O.L.; Zarama, R.
Scientific Reports 10 3666 (2020)

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Assessing diversity in multiplex networks

Laura C. Carpi, Tiago A. Schieber, Panos M. Pardalos, Gemma Marfany, Cristina Masoller, Albert Díaz-Guilera and Martín G. Ravetti
Scientific Reports 9 4511 (2019)

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An Innovative Online Tool to Self-evaluate and Compare Participatory Research Projects Labelled as Science Shops or Citizen Science

Anne-Sophie Gresle, Anna Cigarini, Leonardo de la Torre Avila, Irene Jimeno, Franco Bagnoli, Herman Dempere, Mireia Ribera, Eloi Puertas, Josep Perelló and María Jesús Pinazo
Internet Science 11938 (2019)

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Mapping individual behavior in financial markets: synchronization and anticipation

Mario Gutiérrez-Roig, Javier Borge-Holthoefer, Alex Arenas and Josep Perelló
EPJ Data Science 8 10 (2019)

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Anomalous diffusion under stochastic resettings: A general approach

Jaume Masoliver and Miquel Montero
Phys Rev. E 100 042103 (2019)

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Mercator: uncovering faithful hyperbolic embeddings of complex networks

Guillermo García-Pérez, Antoine Allard, Maria Ángeles Serrano and Marián Boguñá
New Journal of Physics 21 123033 (2019)

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