In this paper, we study several distance-based entropy measures on fullerene graphs. These include the topological information content of a graph Ia(G), a degree-based entropy measure, the eccentric-entropy Ifs(G), the Hosoya entropy H(G) and, finally, the radial centric information entropy Hecc. We compare these measures on two infinite classes of fullerene graphs denoted by A12n+4 and B12n+6. We have chosen these measures as they are easily computable and capture meaningful graph properties. To demonstrate the utility of these measures, we investigate the Pearson correlation between them on the fullerene graphs
In the thesis we concentrate to the part of graph theory that can be applied in chemistry. One of th...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In this article, we discuss the problem of establishing relations between information measures for n...
In this paper, we study several distance-based entropy measures on fullerene graphs. These include t...
In this paper, we study several distance-based entropy measures on fullerene graphs. These include t...
Afullerene is a cubic three-connected graph whose faces are entirely composed of pentagons and hexag...
This paper introduces a variant of entropy measures based on vertex eccentricity and applies it to a...
This paper demonstrates properties of Hosoya entropy, a quantitative measure of graph complexity bas...
We define the Wiener-entropy, which is together with the eccentricity-entropy one of the most natura...
This paper introduces a variant of entropy measures based on vertex eccentricity and applies it to a...
The entropy-based procedures from the configuration of chemical graphs and multifaceted networks, se...
A variety of problems in, e.g., discrete mathematics, computer science, information theory, statisti...
Applications in the disciplines of chemistry, pharmaceuticals, communication, physics, and aeronauti...
Marginal entropy is one of the distances based on the graph entropy. Then, this entropy is computed ...
Entropy is a thermodynamic function in physics that measures the randomness and disorder of molecule...
In the thesis we concentrate to the part of graph theory that can be applied in chemistry. One of th...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In this article, we discuss the problem of establishing relations between information measures for n...
In this paper, we study several distance-based entropy measures on fullerene graphs. These include t...
In this paper, we study several distance-based entropy measures on fullerene graphs. These include t...
Afullerene is a cubic three-connected graph whose faces are entirely composed of pentagons and hexag...
This paper introduces a variant of entropy measures based on vertex eccentricity and applies it to a...
This paper demonstrates properties of Hosoya entropy, a quantitative measure of graph complexity bas...
We define the Wiener-entropy, which is together with the eccentricity-entropy one of the most natura...
This paper introduces a variant of entropy measures based on vertex eccentricity and applies it to a...
The entropy-based procedures from the configuration of chemical graphs and multifaceted networks, se...
A variety of problems in, e.g., discrete mathematics, computer science, information theory, statisti...
Applications in the disciplines of chemistry, pharmaceuticals, communication, physics, and aeronauti...
Marginal entropy is one of the distances based on the graph entropy. Then, this entropy is computed ...
Entropy is a thermodynamic function in physics that measures the randomness and disorder of molecule...
In the thesis we concentrate to the part of graph theory that can be applied in chemistry. One of th...
In graph theory, a topological index is a numerical value that is in good correlation with certain p...
In this article, we discuss the problem of establishing relations between information measures for n...