Computing Certain Topological Indices of Silicate Triangle Fractal Network Modeled by the Sierpiński Triangle Network

被引:2
|
作者
Gayathiri, V [1 ]
Manimaran, A. [1 ]
机构
[1] Vellore Inst Technol, Sch Adv Sci, Dept Math, Vellore, Tamil Nadu, India
来源
CONTEMPORARY MATHEMATICS | 2024年 / 5卷 / 02期
关键词
Sierpi & nacute; ski triangle network; silicate triangle fractal network ( Si n ); fractal dimension; topological indices; ENERGY;
D O I
10.37256/cm.5220244062
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The study of Sierpi & nacute;ski triangle network and extended Sierpi & nacute;ski graph is quite interesting in the field of fractal networks. In nature, fractal networks (FN) and silicate structure networks ( Sio 4 ) play vital roles and in architecture to analyze the dimension of the above-mentioned FN and Sio 4 networks it is necessary to identify the number of copies of the network. In this paper, we introduced a silicate triangle fractal network ( Si n ) which is a planar fractal and it is created using a related sequence of graphs named ( Si n ) n >= 0 , where n is the n th level of silicate triangle fractal network. We analyze the topological indices (TI) of the silicate triangle fractal network Si n graph and compare the calculated topological indices to the number of copies of silicate structure ( Sio 4 ) in each iteration of Si n for a sequence of a graph.
引用
收藏
页码:2150 / 2164
页数:15
相关论文
共 8 条
  • [1] Sierpiński-triangle fractal crystals with the C3v point group
    Na Li
    Xue Zhang
    Gao-Chen Gu
    Hao Wang
    Damian Nieckarz
    Pawe? Szabelski
    Yang He
    Yu Wang
    Jing-Tao Lü
    Hao Tang
    Lian-Mao Peng
    Shi-Min Hou
    Kai Wu
    Yong-Feng Wang
    Chinese Chemical Letters, 2015, 26 (10) : 1198 - 1202
  • [2] Computing topological indices of probabilistic neural network
    M. Javaid
    Jinde Cao
    Neural Computing and Applications, 2018, 30 : 3869 - 3876
  • [3] Computing topological indices of probabilistic neural network
    Javaid, M.
    Cao, Jinde
    NEURAL COMPUTING & APPLICATIONS, 2018, 30 (12): : 3869 - 3876
  • [4] Computing divergence from a surface network: Comparison of the triangle and pentagon methods
    Dubois, JA
    Spencer, PL
    WEATHER AND FORECASTING, 2005, 20 (04) : 596 - 608
  • [5] Computing Topological Indices of 3-Layered Artificial Neural Network
    Gayathiri, V
    Manimaran, A.
    CONTEMPORARY MATHEMATICS, 2023, 4 (04): : 1135 - 1149
  • [6] Some new topological indices of silicate network via M-polynomial
    Cancan, Murat
    Afzal, Deeba
    Hussain, Sabir
    Maqbool, Ayesha
    Afzal, Farkhanda
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2020, 23 (06): : 1157 - 1171
  • [7] M-Polynomials and Topological Indices for Line Graphs of Chain Silicate Network and H-Naphtalenic Nanotubes
    Irfan, Muhammad
    Rehman, Hamood Ur
    Almusawa, Hassan
    Rasheed, Saffina
    Baloch, Imran Abbas
    JOURNAL OF MATHEMATICS, 2021, 2021
  • [8] Computing the degree based topological indices of line graph of benzene ring embedded in P-type-surface in 2D network
    Ahmad, A.
    Elahi, K.
    Hasni, R.
    Nadeem, M. F.
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2019, 40 (07): : 1511 - 1528