Results 21 to 30 of about 942,096 (280)
Szeged-like entropies of graphs
Applied Mathematics and Computation, 2022 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matthias Dehmer +3 more
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Adjusting protein graphs based on graph entropy. [PDF]
BMC Bioinformatics, 2014 Measuring protein structural similarity attempts to establish a relationship of equivalence between polymer structures based on their conformations. In several recent studies, researchers have explored protein-graph remodeling, instead of looking a minimum superimposition for pairwise proteins.
Peng SL, Tsay YW.
europepmc +4 more sources
Some Bounds of Weighted Entropies with Augmented Zagreb Index Edge Weights
Discrete Dynamics in Nature and Society, 2020 The graph entropy was proposed by Körner in the year 1973 when he was studying the problem of coding in information theory. The foundation of graph entropy is in information theory, but it was demonstrated to be firmly identified with some established ...
Yujie Huang +4 more
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Asymptotic entropy of the Gibbs state of complex networks
Scientific Reports, 2021 In this work we study the entropy of the Gibbs state corresponding to a graph. The Gibbs state is obtained from the Laplacian, normalized Laplacian or adjacency matrices associated with a graph.
Adam Glos +2 more
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Graph entropy and related topics [PDF]
, 2023 This thesis consists of an introductory chapter (Chapter 1), followed by six technical chapters. These six chapters have been written in the style of journal papers, based on the five joint papers.
Dong, Yanni
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Graph Multi-Scale Permutation Entropy for Bearing Fault Diagnosis
Sensors, 2023 Bearing faults are one kind of primary failure in rotatory machines. To avoid economic loss and casualties, it is important to diagnose bearing faults accurately. Vibration-based monitoring technology is widely used to detect bearing faults. Graph signal
Qingwen Fan +3 more
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On the von Neumann entropy of graphs [PDF]
Journal of Complex Networks, 2018 AbstractThe von Neumann entropy of a graph is a spectral complexity measure that has recently found applications in complex networks analysis and pattern recognition. Two variants of the von Neumann entropy exist based on the graph Laplacian and normalized graph Laplacian, respectively.
Giorgia Minello +2 more
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Explanatory Change Detection in Financial Markets by Graph-Based Entropy and Inter-Domain Linkage
Entropy, 2022 In this study, we analyzed structural changes in financial markets under COVID-19 to support investors’ investment decisions. Because an explanation of these changes is necessary to respond appropriately to said changes and prepare for similar major ...
Yosuke Nishikawa +5 more
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Discrete Mathematics, 2016 20 pages, 3 ...
Seyed Saeed Changiz Rezaei +1 more
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Symmetric Graphs with Respect to Graph Entropy
The Electronic Journal of Combinatorics, 2017 Let $F_G(P)$ be a functional defined on the set of all the probability distributions on the vertex set of a graph $G$. We say that $G$ is symmetric with respect to $F_G(P)$ if the uniform distribution on $V(G)$ maximizes $F_G(P)$. Using the combinatorial definition of the entropy of a graph in terms of its vertex packing polytope and the relationship ...
Seyed Saeed Changiz Rezaei +1 more
openaire +4 more sources