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universitat de barcelona

Departament de Física Fonamental

Carrer Martí i Franquès, 1
08028 Barcelona (Spain)
(34) 934 02 1150
universitat rovira i virgili

Depertament d'Enginyeria Informàtica i Matemàtiques

Avda. Països Catalans, 26
43007 Tarragona (Spain)
(34) 977 55 9703
news
17 / 10 / 2013
New postdoctoral positions available

Two post-doctoral research associate positions (1+1 years) are available at the University of Barcelona to work on the field of complex networks/network science (read more).

13 / 08 / 2013
PhD position available (CLOSED)

PhD position for doing research on complex networks. Please contact albert.diaz@ub.edu

23 / 04 / 2013
Pol Colomer and Oleguer Sagarra joined the group as PhD students

 .

publications
funding
agaur

ministerio de ciencia e innovacion

slide show
The group is formed by an interdisciplinary scientific team at the Universitat de Barcelona and at the Universitat Rovira i Virgili in Tarragona. The core of our work is the study of complex systems, particularly focusing on coupled systems, which represented one of the most active research areas of modern physics in recent years. Dynamical processes on these systems involve self-organization of individual components that interact with each other to form patterns or structures independently, without direct human intervention. In this sense, the process of genesis of coupled systems follows certain rules determined by the interactions between components, resulting in the spontaneous development of structures with functions and properties that can be very different from elementary components. Therefore, the coupling process is responsible for the appearance of emergent properties that can have a high level of complexity. This substrate of nontrivial coupling between the elements is what we call complex networks.
research
Unraveling the complexity of the Internet

Unraveling the complexity of the Internet

In the age of Information Technology, the Internet has become our primary communication system. It is estimated that more than a billion users surf every day the web looking for information... [+]

Mesoscopic description of complex networks

Mesoscopic description of complex networks

Modular structure is ubiquitous in real-world complex networks, and its detection is important because it gives insights into the structure-functionality relationship. The modular structure of networks can be defined... [+]

Computational models of cognitive processes

Computational models of cognitive processes

Estimations that on average a subject knows from 20000 to 40000 words raise challenging questions about organization of the information and performance in human cognition: how does organization of concepts in memory... [+]

Real Time System scheduling techniques

Real Time System scheduling techniques

can be applied to multitude of every day systems, actually we are involve in some projects, such as a designing of a intelligent tutor for planning the real students work in order to take the most of them... [+]

Synchronizations in complex networks

Synchronizations in complex networks

Complexity is usually understood as the emergence of nontrivial collective behaviors from the dynamical evolution of simple units that are interconnected. Synchronization corresponds to a global behavior... [+]

Percolation Theory in complex networks

Percolation Theory in complex networks

A wide class of real systems of many interacting elements can be mapped into graphs or networks. Under this approach, vertices or nodes of the network represent the elements... [+]

Clustering for data analysis

Clustering for data analysis

Clustering of data is an important approach to extract information from the increasing number of data sets available in all kinds of disciplines. It consists in the assignment of observations into subsets (clusters)... [+]

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