Year: 2025
Type: article
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.
DOI: 10.63278/1320
Institution: Karpagam Academy of Higher Education
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4409089826