## Abstract

Research on the structural complexity of networks has produced many useful results in graph theory and applied disciplines such as engineering and data analysis. This paper is intended as a further contribution to this area of research. Here we focus on measures designed to compare graphs with respect to symmetry. We do this by means of a novel characteristic of a graph G, namely an 'orbit polynomial.' A typical term of this univariate polynomial is of the form cz^{n}, where c is the number of orbits of size n of the automorphism group of G. Subtracting the orbit polynomial from 1 results in another polynomial that has a unique positive root, which can serve as a relative measure of the symmetry of a graph. The magnitude of this root is indicative of symmetry and can thus be used to compare graphs with respect to that property. In what follows, we will prove several inequalities on the unique positive roots of orbit polynomials corresponding to different graphs, thus showing differences in symmetry. In addition, we present numerical results relating to several classes of graphs for the purpose of comparing the new symmetry measure with existing ones. Finally, it is applied to a set of isomers of the chemical compound adamantane C_{10}H_{16}. We believe that the measure can be quite useful for tackling applications in chemistry, bioinformatics, and structure-oriented drug design.

Original language | English |
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Pages (from-to) | 36100-36112 |

Number of pages | 13 |

Journal | IEEE Access |

Volume | 8 |

DOIs | |

Publication status | Published - 2020 |

Publication type | A1 Journal article-refereed |

## Keywords

- data science
- graph measures
- graphs
- networks
- Quantitative graph theory
- symmetry

## Publication forum classification

- Publication forum level 2

## ASJC Scopus subject areas

- General Computer Science
- General Materials Science
- General Engineering