Types Of Graph Data Structure
1. Null Graph
A graph is known as a null graph if there are no edges in the graph.
2. Trivial Graph
Graph having only a single vertex, it is also the smallest graph possible.
3. Undirected Graph
A graph in which edges do not have any direction. That is the nodes are unordered pairs in the definition of every edge.
4. Directed Graph
A graph in which edge has direction. That is the nodes are ordered pairs in the definition of every edge.
5. Connected Graph
The graph in which from one node we can visit any other node in the graph is known as a connected graph.
6. Disconnected Graph
The graph in which at least one node is not reachable from a node is known as a disconnected graph.
7. Regular Graph
The graph in which the degree of every vertex is equal to K is called K regular graph.
8. Complete Graph
The graph in which from each node there is an edge to each other node.
9. Cycle Graph
The graph in which the graph is a cycle in itself, the degree of each vertex is 2.
10. Cyclic Graph
A graph containing at least one cycle is known as a Cyclic graph.
11. Directed Acyclic Graph
A Directed Graph that does not contain any cycle.
12. Bipartite Graph
A graph in which vertex can be divided into two sets such that vertex in each set does not contain any edge between them.
13. Weighted Graph
- A graph in which the edges are already specified with suitable weight is known as a weighted graph.
- Weighted graphs can be further classified as directed weighted graphs and undirected weighted 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
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