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Computing Some Degree‐Based Topological Indices of Honeycomb Networks

Author

Listed:
  • Lili Gu
  • Shamaila Yousaf
  • Akhlaq Ahmad Bhatti
  • Peng Xu
  • Adnan Aslam

Abstract

A topological index is a numeric quantity related with the chemical composition claiming to correlate the chemical structure with different chemical properties. Topological indices serve to predict physicochemical properties of chemical substance. Among different topological indices, degree‐based topological indices would be helpful in investigating the anti‐inflammatory activities of certain chemical networks. In the current study, we determine the neighborhood second Zagreb index and the first extended first‐order connectivity index for oxide network (OXn), silicate network (SLn), chain silicate network (CSn), and hexagonal network (HXn). Also, we determine the neighborhood second Zagreb index and the first extended first‐order connectivity index for honeycomb network (HCn).

Suggested Citation

  • Lili Gu & Shamaila Yousaf & Akhlaq Ahmad Bhatti & Peng Xu & Adnan Aslam, 2022. "Computing Some Degree‐Based Topological Indices of Honeycomb Networks," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:2771059
    DOI: 10.1155/2022/2771059
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    References listed on IDEAS

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    1. Ali, Akbar & Raza, Zahid & Bhatti, Akhlaq Ahmad, 2016. "Bond incident degree (BID) indices of polyomino chains: A unified approach," Applied Mathematics and Computation, Elsevier, vol. 287, pages 28-37.
    2. Mohamad Nazri Husin & Roslan Hasni & Muhammad Imran, 2017. "More results on computation of topological indices of certain networks," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 17(1), pages 46-63.
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    Cited by:

    1. Sana Shafqat & Naveed Yaqoob & Aliya Javed, 2025. "On Some Properties of Fuzzy Topological Indices of Honeycomb Graph," Journal of Mathematics, John Wiley & Sons, vol. 2025(1).

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