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The aim is to explore how graph theory can be applied in data science to analyze complex relationships among data objects.

June 20, 2026Open Access

Applications of Graph Theory in Data Science

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The aim is to explore how graph theory can be applied in data science to analyze complex relationships among data objects.
Study the fundamental concepts of graph theory.
Examine applications in various data types such as social networks and recommendation systems.
Provide illustrative examples of graph-based models in data analysis.
Graph-based models effectively represent complex relationships in structured data.
Demonstrated usefulness in data analysis and decision-making processes.
Highlighted applications in social networks, communication networks, and biological networks.

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Explores how graph theory enhances data analysis in various networks, indicating its importance in modern applications.

Suryawanshi et al. (2026) studied this question.

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