Application of Graph data structure in real world

A graph data structure consists of a set of vertices (also called nodes) and a set of edges connecting the vertices. The vertices represent the objects in the graph, and the edges represent the relationships between the objects.

Lets look at real world application of graphs 

A graph can show Facebook connections by representing each person as a node and the connection between them as an edge.

Social Networks

WWW Interlinking

The World Wide Web’s link structure is a graph with nodes for pages and edges for links. This graph shows how people browse the web and how pages are linked.

GPS Navigation

Nodes represent junctions and edges represent roads in graphs. Analyzing this graph can help you identify the shortest path between two places, such as your current location and your destination.

Network Analysis

Computer, server, and other device networks can be represented as graphs with nodes and edges. Analyzing this graph can reveal network bottlenecks and other issues.

Molecular Structure

Molecules can be represented as graphs with atoms as nodes and bonds as edges. Analyzing this graph can help you understand the molecule’s characteristics and interactions with other molecules.

Supply Chain Management

Graphs can show the flow of materials, goods, or information between supply chain nodes and edges. This graph can optimise resource flow and identify bottlenecks.

AI & Neural Networks

Nodes and edges can be used to represent concepts and their relationships in graphs. This graph can assist AI systems understand and reason about the world.

Fraud Detection

Nodes and edges can be used to indicate relationships between people, companies, or other entities in graphs. Analyzing this graph can reveal fraudulent behaviour patterns.

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