Eccentricity based topological indices of honeycomb networks

Muhammad Imran, Amna A.E. Abunamous, Dana Adi, Sadia Hafa Rafique, Abdul Qudair Baig, Mohammad Reza Farahani

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


Graph theory has made much advancement in the field of mathematical chemistry in last few decades. Now a days, chemical graph theory has become very popular among researchers because of its wide range of applications in mathematical chemistry. The molecular topological descriptors are the numerical invariants of a molecular graph and are very useful for predicting their bioactivity. A great variety of such indices are studied and used in theoretical chemistry, pharmaceutical researchers, in drugs and in different other fields. In this article, we study the chemical graph of honeycomb network denoted by HCn and compute the total eccentricity index, average eccentricity index, eccentricity based Zagreb indices, atom-bond connectivity index and geometricarithmetic index of honeycomb networks. Furthermore, we give analytically closed formulas of these indices which are helpful in studying the underlying topologies of this netwrok.

Original languageEnglish
Pages (from-to)1199-1213
Number of pages15
JournalJournal of Discrete Mathematical Sciences and Cryptography
Issue number7
Publication statusPublished - Oct 3 2019


  • 05C12
  • 05C90
  • Atom bond connectivity index
  • Average Eccentricity
  • Eccentricity based Zagreb indices
  • Geometric arithmetic index and Honeycomb Network
  • Molecular graph
  • Total Eccentricity

ASJC Scopus subject areas

  • Analysis
  • Algebra and Number Theory
  • Applied Mathematics


Dive into the research topics of 'Eccentricity based topological indices of honeycomb networks'. Together they form a unique fingerprint.

Cite this