Difference between Tree and Graph
Tree is a restricted type of Graph Data Structure, just with some more rules. Every tree will always be a graph but not all graphs will be trees. Linked List, Trees, and Heaps all are special cases of graphs.
Introduction to Graph Data Structure
Graph Data Structure is a non-linear data structure consisting of vertices and edges. It is useful in fields such as social network analysis, recommendation systems, and computer networks. In the field of sports data science, graph data structure can be used to analyze and understand the dynamics of team performance and player interactions on the field.
Table of Content
- What is Graph Data Structure?
- Components of Graph Data Structure
- Types Of Graph Data Structure
- Representation of Graph Data Structure
- Adjacency Matrix Representation of Graph Data Structure
- Adjacency List Representation of Graph
- Basic Operations on Graph Data Structure
- Difference between Tree and Graph
- Real-Life Applications of Graph Data Structure
- Advantages of Graph Data Structure
- Disadvantages of Graph Data Structure
- Frequently Asked Questions(FAQs) on Graph Data Structure