Topological aspects of extended Sierpiński structures with help of underlying networks

Faiza Ishfaq, Muhammad Imran, Muhammad Faisal Nadeem

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


Sierpiński networks are the most studied networks of fractal nature with applications in various fields of science. A generalized Sierpiński network is obtained by copying the base network, resulting in the self-similar network. The extended Sierpiński networks are obtained by introducing a new vertex in a generalized Sierpiński network and attaching this vertex with the extreme vertices. Certain network invariants are used to find thermodynamic properties, physio-chemical properties, and biological activities of chemical compounds. These network invariants play a dynamic role in QSAR/QSPR study. In this paper, we discussed Zagreb indices and forgotten topological index for extended Sierpiński networks by using any base network H. Moreover, for the studied topological indices, we attained some bounds using different parameters i.e. order, size, maximum and minimum degrees of vertices in network H.

Original languageEnglish
Article number102126
JournalJournal of King Saud University - Science
Issue number6
Publication statusPublished - Aug 2022


  • Extended Sierpiński networks
  • Extremal networks
  • Forgotten index
  • Zagreb indices

ASJC Scopus subject areas

  • General


Dive into the research topics of 'Topological aspects of extended Sierpiński structures with help of underlying networks'. Together they form a unique fingerprint.

Cite this