Graph Theory: Modelling and Analyzing Complex System

Authors

  • J. Satish Kumar Department of Science and Humanities (Mathematics), Dhaanish Ahmed Institute of Technology, India
  • B. Archana Department of Science and Humanities (Chemistry), Faculty of Engineering, Karpagam Academy of Higher Education, India
  • K. Muralidharan, V. Senthil Kumar Department of Science and Humanities (Mathematics), Dhaanish Ahmed Institute of Technology, India

DOI:

https://doi.org/10.63278/1320

Keywords:

Graph theory, complex systems, network analysis, shortest path, centrality, clustering, optimization.

Abstract

Exhaustive data analysis becomes possible thanks to the implementation of graphs which combine nodes with edges since they let researchers study links and enhance networks alongside pattern identification. Researchers examine essential theories and applications of graphs as well as their analytic methods for analyzing complex systems in this study. Network centrality measures and shortest path algorithms and graph clustering methods constitute important analytical techniques which the study presents. These discoveries exhibit both effectiveness and necessity of graph-based models for addressing real-world difficulties through their optimization abilities in structure analysis.

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How to Cite

J. Satish Kumar, B. Archana, and K. Muralidharan, V. Senthil Kumar. 2025. “Graph Theory: Modelling and Analyzing Complex System”. Metallurgical and Materials Engineering 31 (3):70-77. https://doi.org/10.63278/1320.

Issue

Vol. 31 No. 3 (2025)

Section

Research

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Copyright (c) 2025 J. Satish Kumar, B. Archana, K. Muralidharan, V. Senthil Kumar

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