International audienceIn this work, we use the von Neumann graph entropy variation as a measure of graph vulnerability and we propose a new approximate form of this entropy based on structural attributes of the graph, namely the number of edges, vertices or degrees of the graph. The use of such a simplification is mainly motivated by the resulting optimized computation time. Having a simplified form of the entropy, we use it as a characterization of graph vulnerability through the study of the entropy variation following the deletion of edges. Obtained results in large size graphs show the effectiveness of the proposed approximation.Dans ce travail, nous exploitons la variation de l'entropie de von Neumann de graphes comme mesure de vulnéra...
Un stable (ou ensemble indépendant) est un ensemble de sommets qui sont deux à deux non adjacents. D...
The degree-based entropy Id(G) of a graph G on m>0 edges is obtained from the well-known Shannon ent...
In this article, we discuss the problem of establishing relations between information measures for n...
The von Neumann entropy of a graph is a spectral complexity measure that has recently found applicat...
We normalize the combinatorial Laplacian of a graph by the degree sum, look at its eigenvalues as a ...
Shannon entropy is an information-theoretic measure of unpredictability in probabilistic models. Rec...
Many graph invariants have been used for the construction of entropy-based measures to characterize ...
We conjecture that all connected graphs of order n have von Neumann entropy at least as great as th...
AbstractIn this note, we consider the von Neumann entropy of a density matrix obtained by normalizin...
In this paper, we develop an entropy measure for assessing the structural complexity of directed gra...
We show that the von Neumann entropy (from herein referred to as the von Neumann index) of a graph’s...
We conjecture that all connected graphs of order n have von Neumann entropy at least as great as the...
We show that the von Neumann entropy (from herein referred to as the von Neumann index) of a graph’s...
The graph entropies inspired by Shannon’s entropy concept become the information-theoretic quantitie...
Inspired by the generalized entropies for graphs, a class of generalized degree-based graph entropie...
Un stable (ou ensemble indépendant) est un ensemble de sommets qui sont deux à deux non adjacents. D...
The degree-based entropy Id(G) of a graph G on m>0 edges is obtained from the well-known Shannon ent...
In this article, we discuss the problem of establishing relations between information measures for n...
The von Neumann entropy of a graph is a spectral complexity measure that has recently found applicat...
We normalize the combinatorial Laplacian of a graph by the degree sum, look at its eigenvalues as a ...
Shannon entropy is an information-theoretic measure of unpredictability in probabilistic models. Rec...
Many graph invariants have been used for the construction of entropy-based measures to characterize ...
We conjecture that all connected graphs of order n have von Neumann entropy at least as great as th...
AbstractIn this note, we consider the von Neumann entropy of a density matrix obtained by normalizin...
In this paper, we develop an entropy measure for assessing the structural complexity of directed gra...
We show that the von Neumann entropy (from herein referred to as the von Neumann index) of a graph’s...
We conjecture that all connected graphs of order n have von Neumann entropy at least as great as the...
We show that the von Neumann entropy (from herein referred to as the von Neumann index) of a graph’s...
The graph entropies inspired by Shannon’s entropy concept become the information-theoretic quantitie...
Inspired by the generalized entropies for graphs, a class of generalized degree-based graph entropie...
Un stable (ou ensemble indépendant) est un ensemble de sommets qui sont deux à deux non adjacents. D...
The degree-based entropy Id(G) of a graph G on m>0 edges is obtained from the well-known Shannon ent...
In this article, we discuss the problem of establishing relations between information measures for n...