Dynamics and Collective Phenomena in Social and Socio-technical Systems

Social systems are prominent examples of Complex Systems, emergent phenomena, and the Micro-Macro paradigm. Today’s main societal changes and challenges arise from the feedback loop that entangles society with Information and Communication Technologies (ICT) as a prototypical socio-technical system.

In this line of research we develop new concepts, tools and models aiming at identifying generic mechanisms underlying collective phenomena in these systems. We do this in the framework of Computational Social Sciences with the use of Game Theory, Statistical Physics, Agent Based Models, Complex Networks Theory, and Big Data analysis. We study phenomena such as opinion formation, cooperation, cultural conflicts, language competition and social learning. Moreover, we focus on ICT data-driven research on socio-technical systems, addressing problems of human mobility, transportation, tourism, city science, epidemics, and energy consumption.


Researchers

  • Pere Colet

    Pere Colet

  • Emilio Hernández-García

    Emilio Hernández-García

  • Víctor M. Eguíluz

    Víctor M. Eguíluz

  • Sandro Meloni

    Sandro Meloni

  • Jose Javier Ramasco

    Jose Javier Ramasco

  • Maxi San Miguel

    Maxi San Miguel

  • David Sánchez

    David Sánchez

  • Raúl Toral

    Raúl Toral

  • Nagi Khalil

    Nagi Khalil

  • Konstantin Klemm

    Konstantin Klemm

Ongoing Research projects

SPASIMM

Spatiotemporality in sociobological interactions, models and methods

P.I.: Konstantin Klemm, Víctor M. Eguíluz
The Physics of Complex Systems is experiencing an important research activity, first due to the development of the Theory of Complex Networks, and second due to Big Data. The model driven approach ...

ESPON Housing

ESPON EGTC "Big Data for Territorial Analysis and Housing Dynamics"

P.I.: Jose Javier Ramasco
Contract obtained in the call for tenders opened by the European Commission through the ESPON 2020 (https://www.espon.eu) program devoted to study territorial uses in the EU.

COSTNET

European Cooperation for Statistics of Network Data Science

P.I.: Maxi San Miguel
A major challenge in many modern economic, epidemiological, ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed ...

Recent Publications

Multilayer coevolution dynamics of the nonlinear voter model

Min, Byungjoon; San Miguel, Maxi
New Journal of Physics 21, 035004 (2019)

Coordination in a skeptical two-group population

González-Avella, Juan Carlos; Lugo, Haydée; San Miguel, Maxi
Journal of Economic Interaction and Coordination 14, 203-214 (2019)

Impact of origin-destination information in epidemic spreading.

Gómez, Sergio; Fernández, Alberto; Meloni, Sandro; Arenas, Alex;
Scientific Reports 9, 2315 (2019)

Studying national and international migration flows with Twitter data

Scettri, Giacomo (advisors: Ramasco, JJ and Gallotti, R.)
Master Thesis (2019)

Absorbing phase transition in the coupled dynamics of node and link states in random networks

Meghdad Saeedian , Maxi San Miguel, and Raul Toral
Submitted (2019)

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