ORCID Profile
0000-0001-7781-0034
Current Organisation
Universidade Federal de Minas Gerais
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Publisher: Springer Science and Business Media LLC
Date: 11-2012
Publisher: Elsevier BV
Date: 05-2019
Publisher: Public Library of Science (PLoS)
Date: 03-09-2008
Publisher: Elsevier BV
Date: 05-2010
Publisher: Springer Science and Business Media LLC
Date: 24-03-2012
Publisher: Springer Science and Business Media LLC
Date: 09-01-2017
DOI: 10.1038/NCOMMS13928
Abstract: Identifying and quantifying dissimilarities among graphs is a fundamental and challenging problem of practical importance in many fields of science. Current methods of network comparison are limited to extract only partial information or are computationally very demanding. Here we propose an efficient and precise measure for network comparison, which is based on quantifying differences among distance probability distributions extracted from the networks. Extensive experiments on synthetic and real-world networks show that this measure returns non-zero values only when the graphs are non-isomorphic. Most importantly, the measure proposed here can identify and quantify structural topological differences that have a practical impact on the information flow through the network, such as the presence or absence of critical links that connect or disconnect connected components.
Publisher: Springer Science and Business Media LLC
Date: 14-03-2019
DOI: 10.1038/S41598-019-38869-0
Abstract: Diversity, understood as the variety of different elements or configurations that an extensive system has, is a crucial property that allows maintaining the system’s functionality in a changing environment, where failures, random events or malicious attacks are often unavoidable. Despite the relevance of preserving ersity in the context of ecology, biology, transport, finances, etc., the elements or configurations that more contribute to the ersity are often unknown, and thus, they can not be protected against failures or environmental crises. This is due to the fact that there is no generic framework that allows identifying which elements or configurations have crucial roles in preserving the ersity of the system. Existing methods treat the level of heterogeneity of a system as a measure of its ersity, being unsuitable when systems are composed of a large number of elements with different attributes and types of interactions. Besides, with limited resources, one needs to find the best preservation policy, i.e., one needs to solve an optimization problem. Here we aim to bridge this gap by developing a metric between labeled graphs to compute the ersity of the system, which allows identifying the most relevant components, based on their contribution to a global ersity value. The proposed framework is suitable for large multiplex structures, which are constituted by a set of elements represented as nodes, which have different types of interactions, represented as layers. The proposed method allows us to find, in a genetic network (HIV-1), the elements with the highest ersity values, while in a European airline network, we systematically identify the companies that maximize (and those that less compromise) the variety of options for routes connecting different airports.
Publisher: Springer New York
Date: 2012
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: Springer Science and Business Media LLC
Date: 15-05-2015
Publisher: Elsevier BV
Date: 07-2016
Publisher: Public Library of Science (PLoS)
Date: 24-03-2011
Publisher: Elsevier BV
Date: 12-2016
Publisher: Public Library of Science (PLoS)
Date: 13-04-2010
Publisher: FapUNIFESP (SciELO)
Date: 2019
Publisher: Public Library of Science (PLoS)
Date: 06-12-2013
Publisher: Elsevier BV
Date: 05-2017
Publisher: Informa UK Limited
Date: 13-06-2016
Publisher: Elsevier BV
Date: 2012
Publisher: Elsevier BV
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 18-04-2023
DOI: 10.1038/S41467-023-37323-0
Abstract: Understanding diffusive processes in networks is a significant challenge in complexity science. Networks possess a diffusive potential that depends on their topological configuration, but diffusion also relies on the process and initial conditions. This article presents Diffusion Capacity, a concept that measures a node’s potential to diffuse information based on a distance distribution that considers both geodesic and weighted shortest paths and dynamical features of the diffusion process. Diffusion Capacity thoroughly describes the role of in idual nodes during a diffusion process and can identify structural modifications that may improve diffusion mechanisms. The article defines Diffusion Capacity for interconnected networks and introduces Relative Gain, which compares the performance of a node in a single structure versus an interconnected one. The method applies to a global climate network constructed from surface air temperature data, revealing a significant change in diffusion capacity around the year 2000, suggesting a loss of the planet’s diffusion capacity that could contribute to the emergence of more frequent climatic events.
Publisher: Public Library of Science (PLoS)
Date: 23-09-2014
Publisher: Springer International Publishing
Date: 2016
Publisher: Inderscience Publishers
Date: 2007
Publisher: Elsevier BV
Date: 04-2008
Publisher: Oxford University Press (OUP)
Date: 04-2007
Publisher: Institution of Engineering and Technology (IET)
Date: 2017
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 2011
Publisher: Springer Science and Business Media LLC
Date: 12-2012
Publisher: Royal Society of Chemistry (RSC)
Date: 2019
DOI: 10.1039/C9DT01726G
Abstract: Electrochemistry, nuclease assays, and EPR were used to detect ascorbyl and hydroxyl radical generation by a copper complex adsorbed on gold.
Publisher: Elsevier BV
Date: 05-2016
Publisher: Springer International Publishing
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 23-12-2009
Publisher: Elsevier BV
Date: 07-2019
No related grants have been discovered for Martin Ravetti.