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The structural information content of chemical networks

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Pages (from-to)155-158
Number of pages4
JournalZeitschrift fur Naturforschung Section A: A Journal of Physical Sciences
Volume63
Issue number3-4
Publication statusPublished - Mar 2008
Externally publishedYes
Publication typeA1 Journal article-refereed

Abstract

We present an information-theoretic method to measure the structural information content of networks and apply it to chemical graphs. As a result, we find that our entropy measure is more general than classical information indices known in mathematical and computational chemistry. Further, we demonstrate that our measure reflects the essence of molecular branching meaningfully by determining the structural information content of some chemical graphs numerically.

ASJC Scopus subject areas

Keywords

  • Chemical graph theory, Graph entropy, Information theory, Structural information content