Metric Degree Polynomial and Eccentricity Sequence of Symmetric Hollow Coronoid Polycyclic Conjugated Hydrocarbons

Polycyclic conjugated hydrocarbons (PCHs) with symmetric hollow coronoid structures represent a fundamental class of molecular graphs, exhibiting unique topological and electronic properties. This study systematically investigates the metric degree polynomial and eccentricity sequence for families of PCHs defined by equal arm parameters (t=s=r). Using graph-theoretical and combinatorial methods, we derive explicit formulas and polynomials for both indices, validated by computational approaches for networks of varying sizes. The results reveal regular, scalable patterns in the distribution of eccentricities and metric degrees, reflecting the underlying symmetry and complexity of the networks. We analyze the chemical implications of these topological descriptors, highlighting their value in predicting molecular stability, reactivity, and suitability for advanced materials design. This work not only extends the mathematical foundations of molecular graph theory but also provides practical tools for the rational design of novel organic materials.

Authors

Institutions

Publication Details

Journal
ACADEMIA International Journal for Social Sciences
Published
2025-07-04
DOI
https://doi.org/10.63056/acad.004.03.0346
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metric Degree Polynomial and Eccentricity Sequence of Symmetric Hollow Coronoid Polycyclic Conjugated Hydrocarbons

Hasan Mukhtar, Muhammad Saleem, Tahira
ACADEMIA International Journal for Social Sciences
Graph theory and applications
article

Metric Degree Polynomial and Eccentricity Sequence of Symmetric Hollow Coronoid Polycyclic Conjugated Hydrocarbons

Hasan Mukhtar, Muhammad Saleem, Tahira
article en

Abstract

Polycyclic conjugated hydrocarbons (PCHs) with symmetric hollow coronoid structures represent a fundamental class of molecular graphs, exhibiting unique topological and electronic properties. This study systematically investigates the metric degree polynomial and eccentricity sequence for families of PCHs defined by equal arm parameters (t=s=r). Using graph-theoretical and combinatorial methods, we derive explicit formulas and polynomials for both indices, validated by computational approaches for networks of varying sizes. The results reveal regular, scalable patterns in the distribution of eccentricities and metric degrees, reflecting the underlying symmetry and complexity of the networks. We analyze the chemical implications of these topological descriptors, highlighting their value in predicting molecular stability, reactivity, and suitability for advanced materials design. This work not only extends the mathematical foundations of molecular graph theory but also provides practical tools for the rational design of novel organic materials.

ACADEMIA International Journal for Social SciencesVol. 4(3)
National College of Business Administration and Economics (PK)
Openalex Percentile: Top 78%
Graph theory and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Metric Degree Polynomial and Eccentricity Sequence of Symmetric Hollow Coronoid Polycyclic Conjugated Hydrocarbons — Hasan Mukhtar, Muhammad Saleem, et al. · ACADEMIA International Journal for Social Sciences (2025) | TGRS Research Map | TGRS