Basic Operations on Graph Data Structure

What is Graph Data Structure?

Graph is a non-linear data structure consisting of vertices and edges. The vertices are sometimes also referred to as nodes and the edges are lines or arcs that connect any two nodes in the graph. More formally a Graph is composed of a set of vertices( V ) and a set of edges( E ). The graph is denoted by G(V, E)....

Components of Graph Data Structure

Vertices: Vertices are the fundamental units of the graph. Sometimes, vertices are also known as vertex or nodes. Every node/vertex can be labeled or unlabelled.Edges: Edges are drawn or used to connect two nodes of the graph. It can be ordered pair of nodes in a directed graph. Edges can connect any two nodes in any possible way. There are no rules. Sometimes, edges are also known as arcs. Every edge can be labelled/unlabelled....

Types Of Graph Data Structure:

1. Null Graph...

Representation of Graph Data Structure:

There are two ways to store a graph:...

Basic Operations on Graph Data Structure:

Below are the basic operations on the graph:...

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....

Real-Life Applications of Graph Data Structure:

Graph Data Structure has numerous real-life applications across various fields. Some of them are listed below:...

Advantages of Graph Data Structure:

Graph Data Structure used to represent a wide range of relationships and data structures.They can be used to model and solve a wide range of problems, including pathfinding, data clustering, network analysis, and machine learning.Graph algorithms are often very efficient and can be used to solve complex problems quickly and effectively.Graph Data Structure can be used to represent complex data structures in a simple and intuitive way, making them easier to understand and analyze....

Disadvantages of Graph Data Structure:

Graph Data Structure can be complex and difficult to understand, especially for people who are not familiar with graph theory or related algorithms.Creating and manipulating graphs can be computationally expensive, especially for very large or complex graphs.Graph algorithms can be difficult to design and implement correctly, and can be prone to bugs and errors.Graph Data Structure can be difficult to visualize and analyze, especially for very large or complex graphs, which can make it challenging to extract meaningful insights from the data....

Frequently Asked Questions(FAQs) on Graph Data Structure:

1. What is a graph?...