T
Tiago A. Schieber
Researcher at Universidade Federal de Minas Gerais
Publications - 10
Citations - 258
Tiago A. Schieber is an academic researcher from Universidade Federal de Minas Gerais. The author has contributed to research in topics: Complex network & Robustness (computer science). The author has an hindex of 4, co-authored 9 publications receiving 195 citations. Previous affiliations of Tiago A. Schieber include Pontifícia Universidade Católica de Minas Gerais & University of Florida.
Papers
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Journal ArticleDOI
Quantification of network structural dissimilarities
Tiago A. Schieber,Laura C. Carpi,Albert Díaz-Guilera,Panos M. Pardalos,Cristina Masoller,Martín Gómez Ravetti,Martín Gómez Ravetti +6 more
TL;DR: 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.
Journal ArticleDOI
Assessing diversity in multiplex networks.
Laura C. Carpi,Tiago A. Schieber,Panos M. Pardalos,Gemma Marfany,Cristina Masoller,Albert Díaz-Guilera,Martín Gómez Ravetti +6 more
TL;DR: 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, and allows identifying the most relevant components, based on their contribution to a global diversity value.
Journal ArticleDOI
Information theory perspective on network robustness
Tiago A. Schieber,Tiago A. Schieber,Laura C. Carpi,Alejandro C. Frery,Osvaldo A. Rosso,Osvaldo A. Rosso,Panos M. Pardalos,Martín Gómez Ravetti,Martín Gómez Ravetti +8 more
TL;DR: This work proposes a dynamical definition of network robustness based on Information Theory, that considers measurements of the structural changes caused by failures of the network's components, and finds that distributions based on distances are more consistent in capturing network structural deviations, as better reflect the consequences of the failures.
Journal ArticleDOI
Simulating the dynamics of scale-free networks via optimization.
TL;DR: This work proposes a model able to quantify and reproduce several characteristics of a given network, by using the square root of the Jensen-Shannon divergence in combination with the mean degree and the clustering coefficient, and shows that the methodology was able to mimic the test-networks.
Book ChapterDOI
A Review on Network Robustness from an Information Theory Perspective
Tiago A. Schieber,Tiago A. Schieber,Martín Gómez Ravetti,Panos M. Pardalos,Panos M. Pardalos +4 more
TL;DR: A probabilistic approach already showed useful in graph comparisons when representing the network structure as a set of probability distributions, and, together with the Jensen-Shannon divergence, allows to quantify dissimilarities between graphs.