Graph Data Structure from Non Linear Data Structure ( #shorts )

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Graph Data Structure from Non Linear Data Structure ( #shorts )

Non-Linear Data Structure : Graph Data Structure

A graph is a data structure that represents a collection of nodes (also called vertices) and the connections (also called edges) between them.

a graph is a data structure (V, E) that consists of
A collection of vertices V
A collection of edges E, represented as ordered pairs of vertices (u,v)

Think of a graph as a visual representation of a network of objects, where the objects are represented as dots (nodes) and the connections between them are represented as lines (edges).

For example, a social network can be represented as a graph, where each person is a node and the connections between them represent their relationships. Similarly, a road network can be represented as a graph, where each intersection is a node and the roads between them are edges.

There are different types of graphs, such as directed graphs (where the edges have a specific direction) and undirected graphs (where the edges do not have a direction).

Graphs can be used to solve a variety of problems, such as finding the shortest path between two nodes, identifying clusters of nodes that are densely connected, and analyzing the structure of complex systems.

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