EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS 2025, Vol. 18, Issue 1, Article Number 5599 ISSN 1307-5543 – ejpam.com Published by New York Business Global Data Analysis and Irregularity Measurements in the Identical Structures of Carbon Nanocones CNCt(m) Kamel Jebreen1,2,3,∗, Hassan Kanj4, Inad Nawajah5, Nancy Chendeb6, Rami M. Amro1 1 Faculty of Applied Sciences, Palestine Technical University - Kadoorie, Hebron, Palestine 2 Department of Mathematics, An-Najah National University, Nablus, Palestine 3 Unité de Recherche Clinique Saint-Louis Fernand-Widal Lariboisière, APHP, Paris, France 4 College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait 5 Department of Mathematics, Hebron University, Hebron, Palestine 6 Department of Computer Science, DeVinci Engineering Shcool, La Défense, 92916 Paris, France , France Abstract. Irregularity indices are topological indices by nature. They are highly helpful for determining the quantitative topography of nonregular graphs’ molecular structures. Both the quantitative structure-property relationship (QSPR) and the quantitative structure-activity rela- tionship (QSAR) depend heavily on the computation of abnormalities in a graph. It is made up of several chemical and physical characteristics, including resistance, enthalpy, entropy, toxicity, melt- ing and boiling points, and entropy. This paper examines the application of different irregularity indices to identify irregularity measurements (IMs) in the network of carbon nanocone molecules CNCt(m), for t = 4, 5, and t. We have used different irregularity indices such as Irdif (ξt) ,Al (ξt) , Irl (ξt) , Irlu (ξt) , Irlf (ξt) , Irf (ξt) , Irla (ξt), Ird 1 (ξt) , Ira (ξt) , Irga (ξt) , Irb (ξt)& Irr t (ξt). Compar- ative graphic measures of irregularity in CNC4(m), CNC5(m) and CNCt(m) have also been ex- amined and presented. We are interested in creating new formulas to gain a better understanding of irregularity measures in carbon nanocones using the indices described above. 2020 Mathematics Subject Classifications: 05C09, 05C10, 05C12, 05C31, 05C07, 05C10, 05C90, 05C92 Key Words and Phrases: Carbon nanocones, graphical measurements, vertex degree, edges, irregularity ∗Corresponding author. DOI: https://doi.org/10.29020/nybg.ejpam.v18i1.5599 Email addresses: Kamel.Jebreen@ptuk.edu.ps (K. Jebreen), hassan.kanj@aum.edu.kw (H. Kanj), nancy.chendeb@devinci.fr (N. Chendeb), inadn@hebron.edu (I. Nawaja), r.amro@ptuk.edu.ps (R. Amro) https://www.ejpam.com 1 Copyright: © 2025 The Author(s). (CC BY-NC 4.0) K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 2 of 19 1. Introduction The most significant and fascinating element in existence is carbon. Without carbon, life on Earth would not be conceivable. It makes up the majority of the body’s fats, pro- teins, carbohydrates, muscular tissue, and DNA. It is a non-metallic molecular component that is produced cosmically when helium burns. Technology based on atoms and molecules is known as nanotechnology. It comprises the design and decision-making involved in cre- ating nanodevices. The use of carbon nanoparticles in nanotechnology [3, 9, 28] is crucial. Carbon nanocones are structures that are conical in shape. They were invented in 1968 [12, 30]. They are useful for capping thin carbon on ultrafine gold needles that are used in scanning probe microscopy [10, 15, 26]. Carbon nanostructures have various real-life applications, such as biosensors, energy storage, and gas sensors [2, 27]. Carbon nanocones are typically symbolized as CNCt(m). A topological descriptor (TD) is known as the irregularity index of a graph ξt if (TD (ξt) ≥ 0 and TD (ξt) = 0 iff ξt is a regular graph. Many researchers have described that the prediction and discrimination of irregu- larity indices are low [13, 25, 31]. The main motivation of this study is how irregularity indices give accurate results that are used in many fields like enthalpy and entropy. The irregularity indices [1, 14, 29, 33] are depicted in Table 1. Irregularity Indices Irrs (ξt) = 1 2 ∑ ρµ∈E(ξt) ∣∣dρ − dµ ∣∣ Ira (ξt) = ∑ ρµ∈E(ξt) ( d − 1 2 ρ − d − 1 2 µ )2 Irga (ξt) = ∑ ρµ∈E(ξt) ln dρ+dµ 2 √ dρ×dµ Al (ξt) = ∑ ρµ∈E(ξt) ∣∣dρ − dµ ∣∣ Irdif (ξt) = ∑ ρµ∈E(ξt) ∣∣∣∣ dρdµ − dµ dρ ∣∣∣∣2 Irla (ξt) = 2 ∑ ρµ∈E(ξt) |dρ−dµ| dρ+dµ Irf (ξt) = ∑ ρµ∈E(ξt) ( dρ − dµ )2 Irlu (ξt) = ∑ ρµ∈E(ξt) |dρ−dµ| min(dρ,dµ) Ird1 (ξt) = ∑ ρµ∈E(ξt) ln { 1 + ∣∣dρ − dµ ∣∣} Irb (ξt) = ∑ ρµ∈E(ξt) ( d 1 2 ρ − d 1 2 µ )2 Irlf (ξt) = ∑ ρµ∈E(ξt) |dρ−dµ|√ dρ×dµ Irl (ξt) = ∑ ρµ∈E(ξt) ∣∣ln dρ − ln dµ ∣∣ Table 1: Irregularity indices for ξt = CNCt(m), for t = 4, 5 and t. 2. Material and Methods Let ξt be an undirected, connected, simple, and finite graph of Carbon nanocones where dρ and dµ are the valencies of the nodes ρ and µ, respectively [18, 23]. It is symbolized as CNCt(m). We take the molecular structures of Carbon nanocones CNCt(m), for t = 4, 5 and t, and then different irregularity indices such as Irdif (ξt) , Al (ξt) , Irl (ξt) , Irlu (ξt) , Irlf (ξt) , Irf (ξt) , Irla (ξt) , Ird1 (ξt) , Ira (ξt) , Irga (ξt) , Irb (ξt) and Irrs (ξt) are computed. We have used the comparative study method of testing by choosing the different molecular structures of Carbon nanocones. We have applied twelve irregularity indices to four different Carbon nanocones that are CNCt(m), for t = 4, 5 and t. [4, 20]. 3. Applications The above-calculated irregularity descriptors for the chemical compound Carbon nanocones network symbolically represented by ξt = CNCt(m), for t = 4, 5 and t, can be used to K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 3 of 19 examine many physiochemical topographies [17, 19, 22]. Some of these topographies are given below: (i) Standard enthalpy of vaporization (DHV AP ) (ii) Boiling point (BP ) (iii) Density (iv) Solubility. (v) Partition Coefficient. (vi) Ionization. (vii) Hydrogen Bonding. (viii) Chelation. (ix) Isosterism. (x) Entropy (xi) Surface activity. (xii) Enthalpy of vaporization (HV AP ) (xiii) Melting point (xiv) Ionization energy. Irregularity descriptors describe specific consequences about the above-mentioned chemical features [11, 16, 24]. Irregularity descriptors may support to explore also the chemical, biological, and nano properties that are extensively familiarized in developing parts of any country. Therefore, we calculate irregularity measurements for generalized version of CNCt(m), t = 4, 5, . . . n & m = 1, 2, 3, . . . n. 4. Main Results and Discussion We consider the molecular structures of Carbon nanocones CNCt(m), for t = 4, 5 and t shown in Figures 1-3. Let us choose CNCt(m) for t = 4 i.e., CNC4(m). We construct its molecular structure and apply different irregularity indices on it to get irregularity measurements. [6, 7, 21]. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 4 of 19 Figure 1: Graphical representation of CNC4(m) dµ |V (dµ)| (dρ, dµ) |V (dρ, dµ)| 2 4(m+ 1) (2, 2) 4 3 4m2 + 4m (2, 3) 8m - - (3, 3) 2 ( 3m2 +m ) Table 2: Depiction of the partition of edges of CNC4(m). With the help of Table 1 and Table 2, we have the following theorems: Theorem 1 Let ξt be the molecular graph of Carbon nanocones CNCt(m) with t = 4, then the irregularity indices are given by: K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 5 of 19 Irdif (ξt=4) = 50/9m Al (ξt=4) = 8m Irl (ξt=4) = 3.2437m Irlu (ξt=4) = 4m Irlf (ξt=4) = 3.2659m Irf (ξt=4) = 8m Irla (ξt=4) = 3.2m Ird 1 (ξt=4) = 5.5451m Ira (ξt=4) = 0.1346m Irga (ξt=4) = 0.1632m Irb (ξt=4) = 0.8081m Ir rs (ξt=4) = 4m Proof. The cardinality of ξt=4 with respect to the vertices is |V (ξt=4)| = 4(m + 1)2 and the cardinality of ξt=4 with respect to the edges is |E (ξt=4)| = 2 ( 3m2 + 5m+ 2 ) . For this graph we identify (2, 2), (2, 3) and (3, 3) types of edges. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 6 of 19 Irdif (ξt=4) = ∑ ρµ∈E(ξt=4) ∣∣∣∣∣ dρdµ − dµ dρ ∣∣∣∣∣ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ∣∣∣∣∣ dρdµ − dµ dρ ∣∣∣∣∣ = 6.67m. Al (ξt=4) = ∑ ρµ∈E(ξt=4) ∣∣dρ − dµ ∣∣ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ∣∣dρ − dµ ∣∣ = 8m. Irl (ξt=4) = ∑ ρµ∈E(ξt) ∣∣ln dρ − ln dµ ∣∣ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ∣∣ln dρ − ln dµ ∣∣ = 3.243m. Irlu (ξt=4) = ∑ ρµ∈E(ξt) ∣∣dρ − dµ ∣∣ min ( dρ, dµ ) =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) . . .; ∣∣dρ − dµ ∣∣ min ( dρ, dµ ) = 4 m. Irlf (ξt=4) = ∑ ρµ∈E(ξt) ∣∣dρ − dµ ∣∣√ dρ × dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ∣∣dρ − dµ ∣∣√ dρ × dµ = 3.2659 m. Irf (ξt=4) = ∑ ρµ∈E(ξt) ( dρ − dµ )2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) (dρ − dµ )2 = 8m. Irla (ξt=4) =2 ∑ ρµ∈E(ξt) ∣∣dρ − dµ ∣∣ dρ + dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ∣∣dρ − dµ ∣∣ dρ + dµ = 3.2m. Ird 1 (ξt=4) = ∑ ρµ∈E(ξt) ln { 1 + ∣∣dρ − dµ ∣∣} =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ln { 1 + ∣∣dρ − dµ ∣∣} = 5.5451 m. Ira (ξt=4) = ∑ ρµ∈E(ξt) ( d − 1 2 ρ − d − 1 2 µ )2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) (d − 1 2 ρ − d − 1 2 µ )2 = 0.1346m. Irga (ξt=4) = ∑ ρµ∈E(ξt) ln dρ + dµ 2 √ dρ × dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ln dρ + dµ 2 √ dρ × dµ = 0.1632 m. Irb (ξt=4) = ∑ ρµ∈E(ξt) ( d 1 2 ρ − d 1 2 µ )2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) (d 1 2 ρ − d 1 2 µ )2 = 0.8081 m. Irrs (ξt=4) = 1 2 ∑ ρµ∈E(ξt) ∣∣dρ − dµ ∣∣ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ∣∣dρ − dµ ∣∣ = 4m. All irregularity measurements for the Carbon nanocones network CNC4(m) by using the test values of parameter t, are shown in Table 3. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 7 of 19 Irregularity Indices m = 1 m = 2 m = 3 m = 4 Irdif (ξt) 5.58 11.12 16.68 22.24 Al (ξt) 8 16 24 32 Irl (ξt) 3.24 6.49 9.73 12.97 Irlu (ξt) 4 8 12 16 Irlf (ξt) 3.27 6.53 9.80 13.06 Irf (ξt) 8 16 24 32 Irla (ξt) 3.20 6.40 9.60 12.8 Ird 1 (ξt) 5.55 11.10 16.65 22.2 Ira (ξt) 0.13 0.27 0.40 0.54 Irga (ξt) 0.16 0.33 0.49 0.65 Irb (ξt) 0.81 1.62 2.42 3.23 Irr (ξt) 4 8 12 16 Table 3: Depiction of irregularity indices with some test values for ξ4 = CNC4( m). Graph I: Graphical Measurements of irregularity in CNC4(m). Now, let us choose CNCt(m) for t = 5 i.e., CNC5(m). We construct its molecular structure and apply different irregularity indices to obtain irregularity measurements. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 8 of 19 Figure 2: Molecular depiction of CNC5( m) dµ |V (dµ)| (dρ, dµ) |V (dρ, dµ)| 2 5(m+ 1) (2, 2) 5 3 5m2 + 5m (2, 3) 10m - - (3, 3) 2.5 ( 3m2 +m ) Table 4: Depiction of the partition of edges of CNC5( m). With the help of Table 1 and Table 4, we have the following theorems. Theorem 2. Let ξt be the molecular graph of Carbon nanocones CNCt(m) with t = 5, then the irregularity indices are given by: Irdif (ξt=5) =6.94 m Al (ξt=5) =10 m Irl (ξt=5) =4.0546 m Irlu (ξt=5) =5 m Irlf (ξt=5) =4.0824 m Irf (ξt=5) =10 m Irla (ξt=5) =4 m Ird 1 (ξt=5) =6.9314 m Ira (ξt=5) =0.1683 m Irga (ξt=5) =0.2041 m Irb (ξt=5) =1.0102 m Irs (ξt=5) =5 m. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 9 of 19 Proof. The cardinality of ξt=5 with respect to the vertices is |V (ξt=5)| = 5(m+ 1)2 and the cardinality of ξt=5 with respect to the edges is |E (ξt=5)| = 5 2 ( 3m2 + 5m+ 2 ) . We have found (2, 2), (2, 3) and (3, 3) types of edges. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 10 of 19 Irdif (ξt=5) = ∑ ρµ∈E(ξt=4) ∣∣∣∣dρdµ − dµ dρ ∣∣∣∣ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) .̄..; ∣∣∣∣dρdµ − dµ dρ ∣∣∣∣ = 8.33 m. Al (ξt=5) = ∑ ρµ∈E(ξt=4) |dρ − dµ| =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  |dρ − dµ| = 10 m. Irl (ξt=5) = ∑ ρµ∈E(ξt) |ln dρ − ln dµ| =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ī  |ln dρ − ln dµ| = 4.0546m. Irlu (ξt=5) = ∑ ρµ∈E(ξt) |dρ − dµ| min (dρ, dµ) =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  |dρ − dµ| min (dρ, dµ) = 5 m. Irlf (ξt=5) = ∑ ρµ∈E(ξt) |dρ − dµ|√ dρ × dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  |dρ − dµ|√ dρ × dµ = 4.0824 m. Irf (ξt=5) = ∑ ρµ∈E(ξt) (dρ − dµ) 2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  (dρ − dµ) 2 = 10 m. Irla (ξt=5) = 2 ∑ ρµ∈E(ξt) |dρ − dµ| dρ + dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ; |dρ − dµ| dρ + dµ = 4m. Ird 1 (ξt=5) = ∑ ρµ∈E(ξt) ln {1 + |dρ − dµ|} =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ; ln {1 + |dρ − dµ|} = 6.9314 m. Ira (ξt=5) = ∑ ρµ∈E(ξt) ( d − 1 2 ρ − d − 1 2 µ )2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ( d − 1 2 ρ − d − 1 2 µ )2 = 0.1683m. Irga (ξt=5) = ∑ ρµ∈E(ξt) ln dρ + dµ 2 √ dρ × dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ... ln dρ + dµ 2 √ dρ × dµ = 0.2041 m. Irb (ξt=5) = ∑ ρµ∈E(ξt) ( d 1 2 ρ − d 1 2 µ )2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ( d 1 2 ρ − d 1 2 µ )2 = 1.0102m. Irrs (ξt=5) = 1 2 ∑ ρµ∈E(ξt) |dρ − dµ| =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ; dρ − dµ |= 5m. All irregularity measurements for the Carbon nanocones network CNC5( m) by using test values of parameter t, are shown in Table 5. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 11 of 19 Irregularity Indices m = 1 m = 2 m = 3 m = 4 Irdif (ξt) 6.94 13.88 20.80 27.76 Al (ξt) 10 20 30 40 Irl (ξt) 4.05 8.10 12.15 16.2 Irlu (ξt) 5 10 15 20 Irlf (ξt) 4.08 8.16 12.24 16.32 Irf (ξt) 10 20 30 40 Irla (ξt) 4 8 12 16 Ird1 (ξt) 6.93 13.86 20.79 27.72 Ira (ξt) 0.17 0.34 0.51 0.68 Irga (ξt) 0.20 0.40 0.60 0.80 Irb (ξt) 1.01 2.02 3.03 4.04 Irr rt (ξt) 5 10 15 20 Table 5: Depiction of irregularity indices with some test values for ξ5 = CNC5( m). Graph2: Graphical Measurements of irregularity in CNC5( m). Now, let us choose CNCt(m) for t = t i.e., CNCt(m). We construct its molecular structure and apply different irregularity indices to obtain irregularity measurements. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 12 of 19 Figure 3: Graphical formation display of generalized form of CNCt( m) dµ |V (dµ)| (dρ, dµ) |V (dρ, dµ)| 2 t(m+ 1) (2, 2) t 3 t ( m2 +m ) (2, 3) 2tm - - (3, 3) 0.5t ( 3m2 +m ) Table 6: Depiction of the partition of edges of CNCt(m). With the help of Table 1 and Table 6, we have the following theorems. Theorem 3. Let ξt be the molecular graph of Carbon nanocones CNCt(m) with t = t, then the irregularity indices are given by: K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 13 of 19 Irdif (ξt) = 1.3888tm Al (ξt) = 2tm Irl (ξt) = 0.8109tm Irlu (ξt) = tm Irlf (ξt) = 0.8164tm Irf (ξt) = 2tm Irla (ξt) = 0.4tm Ird 1 (ξt) = 1.3862tm Ira (ξt) = 0.0336tm Irga (ξt) = 0.0408tm Irb (ξt) = 0.2020tm Irr (ξt) = tm Proof. The cardinality of ξt with respect to the vertices is |V (ξt)| = t(m + 1)2 and the cardinality of ξt with respect to the edges is |E (ξt)| = t 2 ( 3m2 + 5m+ 2 ) . We have found (2, 2), (2, 3) and (3, 3) types of edges. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 14 of 19 Irdif (ξt) = ∑ ρµ∈E(ξt=4) ∣∣∣∣dρdµ − dµ dρ ∣∣∣∣ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) .̄.. ∣∣∣∣dρdµ − dµ dρ ∣∣∣∣ = 1.6666tm. Al (ξt) = ∑ ρµ∈E(ξt=4) |dρ − dµ| =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  |dρ − dµ| = 2tm. Irl (ξt) = ∑ ρµ∈E(ξt) |ln dρ − ln dµ| =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) .̄..  |ln dρ − ln dµ| = 0.8109tm. Irlu (ξt) = ∑ ρµ∈E(ξt) |dρ − dµ| min (dρ, dµ) =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ;  |dρ − dµ| min (dρ, dµ) = tm. Irlf (ξt) = ∑ ρµ∈E(ξt) |dρ − dµ|√ dρ × dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  |dρ − dµ|√ dρ × dµ = 0.8164tm. Irf (ξt) = ∑ ρµ∈E(ξt) (dρ − dµ) 2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  (dρ − dµ) 2 = 2tm. Irla (ξt) =2 ∑ ρµ∈E(ξt) |dρ − dµ| dρ + dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  |dρ − dµ| dρ + dµ = 0.8tm. Ird 1 (ξt) = ∑ ρµ∈E(ξt) ln {1 + |dρ − dµ|} =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ; ln {1 + |dρ − dµ|} = 1.3862tm. Ira (ξt) = ∑ ρµ∈E(ξt) ( d − 1 2 ρ − d − 1 2 µ )2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ( d − 1 2 ρ − d − 1 2 µ )2 = 0.0336tm. Irga (ξt) = ∑ ρµ∈E(ξt) ln dρ + dµ 2 √ dρ × dµ =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4)  ln dρ + dµ 2 √ dρ × dµ = 0.0408tm. Irb (ξt) = ∑ ρµ∈E(ξt) ( d 1 2 ρ − d 1 2 µ )2 =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) ( d 1 2 ρ − d 1 2 µ )2 = 0.2020tm. Irrs (ξt) = 1 2 ∑ ρµ∈E(ξt) |dρ − dµ| =  ∑ ρµ∈E22(ξt=4) + ∑ ρµ∈E23(ξt=4) + ∑ ρµ∈E33(ξt=4) |dρ − dµ| = tm All irregularity measurements for the Carbon nanocones network CNCt(m) by using test values of parameter m, are shown in Table 7 with their graphical representation in graph 3 . K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 15 of 19 Irregularity Indices m = 1 m = 2 m = 3 m = 4 Irdif (ξt) 1.39 t 2.78 t 5.01 t 5.56 t Al (ξt) 2 t 4 t 6 t 8 t Irl (ξt) 0.81 t 1.62 t 2.43 t 3.24 t Irlu (ξt) t 2 t 3 t 4 t Irlf (ξt) 0.82 t 1.64 t 2.46 t 3.28 t Irf (ξt) 2 t 4 t 6 t 8 t Irla (ξt) 0.4 t 0.8 t 1.2 t 1.6 t Ird1 (ξt) 1.39 t 2.78 t 4.17 t 5.56 t Ira (ξt) 0.03 t 0.06 t 0.09 t 0.12 t Irga (ξt) 0.04 t 0.08 t 0.12 t 0.16 t Irb (ξt) 0.20 t 0.40 t 0.60 t 0.80 t Irr t (ξt) t 2 t 3 t 4 t Table 7: Depiction of irregularity indices with some test values for ξt = CNCt(m). Graph 3: Graphical Measurements of irregularity in CNCt=1(m). Irf (ξt) Ira (ξt) CNC4( m) 32 0.54 CNC5( m) 40 0.68 Table 8: Shows the irregularity indices Irf (ξt) and Ira (ξt) for ξt = CNCt=4,5( m). Graph4: Graphical Analysis of irregularity in CNCt=4,5( m). K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 16 of 19 IMs CNCt(m), t = 4, 5, . . . n&m = 1, 2, 3, . . . n Irdif (ξt) 1.39 tm Al (ξt) 2 tm Irl (ξt) 0.81 tm Irlu (ξt) tm Irlf (ξt) 0.82 tm Irf (ξt) 2 tm Irla (ξt) 0.40tm Ird 1 (ξt) 1.39 tm Ira (ξt) 0.03 tm Irga (ξt) 0.04ttm Irb (ξt) 0.20 tm Irr rs) tm Table 9: Shows the irregularity measurements with generalized form of Carbon nancones. 5. Conclusion We analyse the theoretical and graphical data we acquired for the Carbon Nanocones network CNCt(m), for t = 4, 5 and t using the twelve irregularity indices described above. Based on these results, we determine which molecular network is more irregu- lar than the others according to a certain irregularity index. It has been noted that, for CNCt(m), for t = 4, 5 and t, all of the generated graphs have a straight-line form, and all formulas derived from irregularity indices are linear in m and CNCt( m) are depen- dent on a parameter m . It has shown that increasing the parameter value causes the irregularity indices’ value to grow as well. Graphs 1-2 show the graphic behaviour of IM for CNCt(m), for t = 4, 5. The calculated and shown irregularity indices for for ξt = CNCt=4,5,( m) are presented in Table 8. The irregularity measurements for the generalized version of of CNCt(m), t = 4, 5, . . . n& m = 1, 2, 3, . . . n, are displayed in Table 9. The graphical behaviour of CNC4(m), CNC5(m) for the irregularity index Ir f (ξt) is shown by the black line.On the other hand, graph 4 shows the graphical behavior of CNC4( m), CNC5( m) for the irregu- larity index Ira (ξt), as represented by the pink line. Moreover, a variety of physiochemical parameters, including those listed in Section 5 above, can be found and compared using irregularity indices [5, 8, 32]. Using irregularity indices, correlation, and the regression model P = a + bX, where X can be any topolog- ical index - we determine the experimental values of the fourteen physiochemical param- eters listed above and then compare them to our estimated values. Additionally, we can contrast their major and non-significant errors. If we compute the fourteen physiochem- ical parameters listed above more accurately and numerically using irregularity indices, we do not require the experimental results. It has also been observed that the difference of irregularity measurements for Irf (ξt) K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 17 of 19 among CNC4( m) and CNC5( m) are unified. Similarly, the difference of irregularity measurements for Ira (ξt) among CNC4( m) and CNC5( m) are same. Acknowledgements The authors extend their heartfelt gratitude to Palestine Technical University-Kadoorie, Palestine, American University of the Middle East, Egaila 54200, Kuwait, and ICTP- Arab Fund Associates Programme (2024-2026) for their invaluable support in facilitat- ing this research. Data Availability: All data used are included inside the manuscript. References [1] Hosam Abdo, Stephan Brandt, and Darko Dimitrov. The total irregularity of a graph. Discrete Mathematics & Theoretical Computer Science, 16(Graph Theory), 2014. [2] Olumide O Adisa, Barry J Cox, and James M Hill. Modelling the surface adsorption of methane on carbon nanostructures. Carbon, 49(10):3212–3218, 2011. [3] Muhammad Haroon Aftab, Ali Akgül, Muhammad Bilal Riaz, Muhammad Athar Hussain, Kamel Jebreen, and Hassan Kanj. Measuring the energy for the molecular graphs of antiviral agents: Hydroxychloroquine, chloroquine and remdesivir. South African Journal of Chemical Engineering, 47(1):333–337, 2024. [4] Muhammad Haroon Aftab, Kamel Jebreen, Mohammad Issa Sowaity, and Muham- mad Hussain. Analysis of eigenvalues for molecular structures. Computers, Materials and Continua, 73:1225–1236, 2022. [5] Muhammad Haroon Aftab, Kamel Jebreen, Mohammad Issa Sowaity, and Muham- mad Hussain. Analysis of eigenvalues for molecular structures. Computers, Materials and Continua, 73:1225–1236, 2022. [6] Shams Al-duha Abu Alhassan, Abdulnaser Nour, Sameh Atout, Zahran Daraghma, and Kamel Jebreen. Does corporate governance moderates the impact of earnings management on capital structure: Evidence from palestine and amman bourses. 2023. [7] Iftikhar Ali, Muhammad Haroon Aftab, MuhammadWaheed Raheed, Kamel Jebreen, Hassan Kanj, et al. Topological effects of chiral pamam dendrimer for the treatment of cancer. Transylvanian Review, 31(2), 2023. [8] Nawaf Ali, Tarek Khalifa, Hifza Iqbal, Muhammad Haroon Aftab, Kamel Jebreen, Humira Jamil, and Hassan Kanj. Graphical invariants for some transformed networks. European Journal of Pure and Applied Mathematics, 17(2):690–709, 2024. [9] Debnath Bhattacharyya, Shashank Singh, Niraj Satnalika, Ankesh Khandelwal, and Seung-Hwan Jeon. Nanotechnology, big things from a tiny world: a review. Interna- tional Journal of u-and e-Service, Science and Technology, 2(3):29–38, 2009. [10] Abraham G Cano-Marquez, Wesller G Schmidt, Jenaina Ribeiro-Soares, Luiz Gus- tavo Cançado, Wagner N Rodrigues, Adelina P Santos, Clascidia A Furtado, Pedro AS Autreto, Ricardo Paupitz, Douglas S Galvão, et al. Enhanced mechanical stability of K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 18 of 19 gold nanotips through carbon nanocone encapsulation. Scientific Reports, 5(1):10408, 2015. [11] Matthieu Falque, Kamel Jebreen, Etienne Paux, Carsten Knaak, Sofiane Mezmouk, and Olivier C Martin. Cnvmap: a method and software to detect and map copy number variants from segregation data. Genetics, 214(3):561–576, 2020. [12] J Gillot, W Bollmann, and B Lux. Cigar-shaped graphite crystals with conical struc- ture. Carbon, 6(3):381, 1968. [13] Ivan Gutman. Irregularity of molecular graphs. Kragujevac Journal of Science, (38):71–81, 2016. [14] Batmend Horoldagva, Lkhagva Buyantogtokh, Shiikhar Dorjsembe, and Ivan Gut- man. Maximum size of maximally irregular graphs. MATCH Commun. Math. Com- put. Chem, 76:81–98, 2016. [15] Sumio Iijima. Helical microtubules of graphitic carbon. nature, 354(6348):56–58, 1991. [16] Kamel Jebreen. Modeles graphiques pour la classification et les séries temporelles. PhD thesis, Aix-Marseille, 2017. [17] Kamel Jebreen, Muhammad Haroon Aftab, Iftikhar Ali, Mohammed Issa Sowaity, and Hassan Kanj. Topological aspects investigated from m-polynomial of γ-sheet of boron clusters. International Journal of Chemical and Biochemical Sciences, 24(4):469–477, 2023. [18] Kamel Jebreen, Muhammad Haroon Aftab, MI Sowaity, B Sharada, AM Naji, and M Pavithra. Eccentric harmonic index for the cartesian product of graphs. Journal of Mathematics, 2022(1):9219613, 2022. [19] Kamel Jebreen, Muhammad Haroon Aftab, MI Sowaity, B Sharada, AM Naji, and M Pavithra. Research article eccentric harmonic index for the cartesian product of graphs. 2022. [20] Kamel Jebreen, Muhammad Haroon Aftab, Mohammad Issa Sowaity, Zeeshan Saleem Mufti, and Muhammad Hussain. An approximation for the entropy measuring in the general structure of sgsp3. Computers, Materials and Continua, 73:4455–4463, 2022. [21] Kamel Jebreen and Badih Ghattas. Bayesian network classification: Application to epilepsy type prediction using pet scan data. In 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), pages 965–970. IEEE, 2016. [22] Kamel Jebreen, Hifza Iqbal, Muhammad Haroon Aftab, Iram Yaqoob, Mo- hammed Issa Sowaity, and Amjad Barham. Study of eccentricity based topologi- cal indices for benzenoid structure. South African Journal of Chemical Engineering, 45:221–227, 2023. [23] Kamel Jebreen, Mohamad Motasem Nawaf, Amjad Barham, and Badih Ghattas. In- ferring linear and nonlinear interaction networks using neighborhood support vector machines. In 2021 International Conference on Engineering and Emerging Technolo- gies (ICEET), pages 1–6. IEEE, 2021. [24] Kamel Jebreen, Marianyela Petrizzelli, and Olivier C Martin. Probabilities of multi- locus genotypes in sib recombinant inbred lines. Frontiers in genetics, 10:833, 2019. K. Jebreen et al. / Eur. J. Pure Appl. Math, 18 (1) (2025), 5599 19 of 19 [25] Kamel Jebreen, Eqbal Radwan, Wafa Kammoun-Rebai, Etimad Alattar, Afnan Rad- wan, Walaa Safi, Walaa Radwan, and Mohammed Alajez. Perceptions of undergrad- uate medical students on artificial intelligence in medicine: mixed-methods survey study from palestine. BMC Medical Education, 24(1):507, 2024. [26] Hassan Kanj, Hifza Iqbal, Muhammad Haroon Aftab, Hasnain Raza, Kamel Jebreen, and Mohammed Issa Sowaity. Topological characterization of hexagonal network and non-kekulean benzenoid hydrocarbon. European Journal of Pure and Applied Mathematics, 16(4):2187–2197, 2023. [27] Tarek Khalifa, Nawaf Ali, Muhammad Rafaqat, Muhammad Haroon Aftab, Hassan Kanj, Mouhammad Alakkoumi, and Kamel Jebreen. Topological characterization for triangular, regular triangular oxides and silicates networks. European Journal of Pure and Applied Mathematics, 17(3):2106–2126, 2024. [28] Mark T Lusk and Lincoln D Carr. Nanoengineering defect structures on graphene. Physical review letters, 100(17):175503, 2008. [29] Inad Nawajah, Hassan Kanj, Yehia Kotb, Julian Hoxha, Mouhammad Alakkoumi, and Kamel Jebreen. Bayesian regression analysis using median rank set sampling. European Journal of Pure and Applied Mathematics, 17(1):180–200, 2024. [30] Inad Nawajah, Eqbal Radwan, Mohammed Abuharb, Hussein Jabareen, Mohannad Jazzar, Wafa Kammoun Rebai, and Kamel Jebreen. Principal component analysis of the environmental attitudes of students at faculty of economics during the covid-19 pandemic: A cross-sectional study from palestine. Multidisciplinary Science Journal, 7(1):2025033–2025033, 2025. [31] Tamas Réti, Reza Sharafdini, Agota Dregelyi-Kiss, and Hossein Haghbin. Graph irregularity indices used as molecular descriptors in qspr studies. MATCH Commun. Math. Comput. Chem, 79(2):509–524, 2018. [32] Tamas Réti, Reza Sharafdini, Agota Dregelyi-Kiss, and Hossein Haghbin. Graph irregularity indices used as molecular descriptors in qspr studies. MATCH Commun. Math. Comput. Chem, 79(2):509–524, 2018. [33] Damir Vukičević and Ante Graovac. Valence connectivity versus randić, zagreb and modified zagreb index: A linear algorithm to check discriminative properties of indices in acyclic molecular graphs. Croatica chemica acta, 77(3):501–508, 2004.