# What is graph in data structure with example?

Table of Contents

## What is graph in data structure with example?

A graph is a common data structure that consists of a finite set of nodes (or vertices) and a set of edges connecting them. A pair (x,y) is referred to as an edge, which communicates that the x vertex connects to the y vertex. In the examples below, circles represent vertices, while lines represent edges.

### What are the two approaches to graph implementation?

There are two traditional approaches to representing graphs: The adjacency matrix and the adjacency list.

**Why graph is used in data structure?**

Graphs in data structures are non-linear data structures made up of a finite number of nodes or vertices and the edges that connect them. Graphs in data structures are used to address real-world problems in which it represents the problem area as a network like telephone networks, circuit networks, and social networks.

**Where graph is used in data structure?**

Graphs are awesome data structures that you use every day through Google Search, Google Maps, GPS, and social media. They are used to represent elements that share connections. The elements in the graph are called Nodes and the connections between them are called Edges.

## What are the applications of graph?

Graphs are used to define the flow of computation. Graphs are used to represent networks of communication. Graphs are used to represent data organization. Graph transformation systems work on rule-based in-memory manipulation of graphs.

### What are the types of graphs in data structure?

A graph can be represented by one of three data structures: an adjacency matrix, an adjacency list, or an adjacency set.

**How graph can help in managing the information in data structure?**

Graphs are a strong and adaptable data structure that allows you to easily express real-world connections between many types of data (nodes). A graph is made up of two major components (vertices and edges). The data is stored at the vertices (nodes), which are represented by the numbers in the picture on the left.

**What is a real life example of graph data structure?**

Graph Data Structure in Social Media and Google Map You probably use social media like Facebook, LinkedIn, Instagram, and so on. Social media is a great example of a graph being used. Social media uses graphs to store information about each user. Here, every user is a node just like in Graph.

## How graphs can help in managing the information data structure?

### How do we use graphs in real life?

Graphs are widely used in businesses. Visual presentation of data makes it easier to understand large amounts of data, trends, and relationships. The use of graphs in daily life also helps in making an analysis. For example, it provides structure in assessing performances, sales, and even deadlines.

**How is graph theory used today?**

Graph Theory is ultimately the study of relationships . Given a set of nodes & connections, which can abstract anything from city layouts to computer data, graph theory provides a helpful tool to quantify & simplify the many moving parts of dynamic systems.

**How do you implement DFS?**

The DFS algorithm works as follows:

- Start by putting any one of the graph’s vertices on top of a stack.
- Take the top item of the stack and add it to the visited list.
- Create a list of that vertex’s adjacent nodes.
- Keep repeating steps 2 and 3 until the stack is empty.

## What are the real life applications of graph theory?

In the real-world, graph theory is used in the internet field, Google maps/ Yahoo maps, social media, web Page searching, City Planning, Traffic Control, Transportation & Navigation, Travelling Salesman Problem, GSM mobile phone networks, Map colouring, time table scheduling etc.

### How are graphs used in real life?

**Where is tree and graph data structure used in real life?**

5 Practical Applications of Graph Data Structures in Real Life

- Social Graphs.
- Knowledge Graphs.
- Recommendation Engines.
- Path Optimization Algorithms.
- Scientific Computations.