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Showing papers by "Stefano Boccaletti published in 2010"


Journal ArticleDOI
TL;DR: A general method based on synchronization of networking oscillators, that is able to detect overlapping structures in multimodular environments and report the full analytical and theoretical description on the relationship between the overlapping dynamics and the underlying network topology is presented.
Abstract: Modularity is a fundamental feature of real networks, being intimately bounded to their functionality, i.e., to their capability of performing parallel tasks in a coordinated way. Although the modular structure of real graphs has been intensively studied, very little is known on the interactions between functional modules of a graph. Here, we present a general method based on synchronization of networking oscillators, that is able to detect overlapping structures in multimodular environments. We furthermore report the full analytical and theoretical description on the relationship between the overlapping dynamics and the underlying network topology. The method is illustrated by means of a series of applications.

43 citations


Journal ArticleDOI
TL;DR: Theta oscillations mediate the positive effect of semantic congruence on associative memory by optimizing top-down attentional mechanisms through enhanced theta phase synchronization between dorsal regions of the PPL and MTL and adjusting the control of automatic attention to sensory and contextual information reactivated in the MTL through functional connections with the inferior parietal lobe.

40 citations


Journal ArticleDOI
TL;DR: The topological properties of the network are related to the dissipation of energy within the system, and it is shown that the rewiring parameter of the graph is varying to go from a regular to a random structure, resulting in a lower energy output.
Abstract: In the current work, we study the propagation of perturbations through networks of springs which are spatially distributed on a plane. We show that the topological properties of the network are related to the dissipation of energy within the system. By varying the rewiring parameter of the graph, and thus going from a regular to a random structure, we obtain a lower energy output, due to the fact that the initial (linear) perturbation is transformed into oscillations around each node. The results obtained are related to the transmission of information through a complex structure with potential applications to the design of more efficient damping systems.

9 citations


Journal ArticleDOI
TL;DR: A case of a growing network of nonidentical oscillators, where the growth process is entirely guided by dynamical rules, and where the final synchronized state is accompanied with the emergence of a specific statistical feature in the network's degree distribution.
Abstract: In natural systems, many processes can be represented as the result of the interaction of self-sustained oscillators on top of complex topological wirings of connections. We review some of the main results on the setting of collective (synchronized) behaviors in globally and locally identical coupled oscillators, and then discuss in more detail the main formalism that gives the necessary condition for the stability of a synchronous motion. Finally, we also briefly describe a case of a growing network of nonidentical oscillators, where the growth process is entirely guided by dynamical rules, and where the final synchronized state is accompanied with the emergence of a specific statistical feature (the scale-free property) in the network's degree distribution.

6 citations


01 Jan 2010
TL;DR: In this article, the authors present an overview of the work of the authors of this paper and their colleagues in the field of functional neuroscience and neuroheuristic research in the context of the Spanish Network of Excellence on Neurodegenerative Diseases.
Abstract: 1. CNR-Institute of Complex Systems, Via Madonna del Piano 10, 50019 Sesto Fiorentino, Italy, and Italian Embassy in Israel, 25 Hamered Street, Tel-Aviv, Israel. E-mail: stefano.boccaletti@isc.cnr.it 2. Laboratory of Functional Neuroscience, Spanish Network of Excellence on Neurodegenerative Diseases (CIBERNED), University Pablo de Olavide, 41013 Seville, Spain. E-mail: jlcanlor@upo.es 3. Centre National de la Recherche Scientifique, UPR 640 Laboratoire de Neurosciences Cognitives et Imagerie Cerebrale, Hopital de la PitieSalpetriere, 75651 Paris, France. E-mail: mario.chavez@upmc.fr 4. Department of Signal Processing, Tampere University of Technology, P.O. Box 553, 33101 Tampere, Finland. E-mail: german.gomezherrero@tut.fi 5. Instituto de Fisica Interdisciplinar y Sistemas Complejos (UIB-CSIC), Campus Universitat de les Illes Balears, 07122 Palma de Mallorca, Spain. E-mail: laserdynamics@gmail.com 6. Department of Neurophysiology, Max Planck Institute for Brain Research, Deutschordenstr. 46, 60528, Frankfurt am Main, Germany. E-mail: mail@g-pipa.com 7. Neuroheuristic Research Group, Institute of Computer and Organizational Sciences, Inforge CP1, Universite de Lausanne, 1005 Lausanne, Switzerland. E-mail: avilla@neuroheuristic.org 8. Departament de Fisica i Enginyeria Nuclear, Universitat Politecnica de Catalunya, Campus de Terrassa, 08222 Terrassa, Spain. E-mail: jordi.g.ojalvo@upc.edu

3 citations


Journal ArticleDOI
TL;DR: A new method for detecting overlapping communities in structured networks is proposed from observations of the response of a random and modular network to the simultaneous presence of two frequencies.
Abstract: The response of a random and modular network to the simultaneous presence of two frequencies is considered. The competition for controlling the dynamics of the network results in different behaviors, such as frequency changes or permanent synchronization frustration, which can be directly related to the network structure. From these observations, we propose a new method for detecting overlapping communities in structured networks.

1 citations