How is graph theory applied in data science?

How is graph theory applied in data science?

Graph theory is used in data science to model relationships between data points, such as social networks or recommendation systems.

Can you give an example of a real-world application?

Sure! One example is using graph theory in social media to analyze user connections and influence.

What algorithms are commonly used in graph theory?

Common algorithms include Dijkstra's for shortest paths, PageRank for ranking web pages, and clustering algorithms for community detection.

How does graph theory improve machine learning models?

Graph theory enhances machine learning by providing insights into data structure, improving feature selection, and enabling better predictions.