Abstract
Entropy measures are critical to characterizing the structural and information complexity of the network. The antizeolite-type structure is examined in this study through graph theory using the computation of several Zagreb-type indices and their respective entropy measures. Special attention is given to the use of the Pearson correlation coefficient to study the strength and character of the relationship between the indices and the values of the corresponding entropy measures. With extensive mathematical derivation and computation through Python, we uncover strong positive correlations revealing the character of structural graph parameters impacting informational uncertainty. These results provide an integrated comprehension of the topological features and the behavior of the antizeolite network’s entropy.
| Original language | English |
|---|---|
| Pages (from-to) | 6985-6997 |
| Number of pages | 13 |
| Journal | Chemical Papers |
| Volume | 79 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2025 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences 2025.
Keywords
- Antizeolite network
- Graph entropy
- Pearson correlation
- Shannon entropy
- Topological analysis
- Zagreb-type indices
ASJC Scopus subject areas
- General Chemistry
- Biochemistry
- General Chemical Engineering
- Industrial and Manufacturing Engineering
- Materials Chemistry
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