Last Updated: Mar 27, 2024
Difficulty: Medium

# What is Undirected Graph?

Leveraging ChatGPT - GenAI as a Microsoft Data Expert
Speaker
Prerita Agarwal
Data Specialist @
23 Jul, 2024 @ 01:30 PM

## Introduction

Graphs are the most important but very underrated or lesser talked component of data structures. They quietly help in making sense of complex relationships & connections. Among all of these, undirected graphs stand out for their simplicity & wide-ranging applications. An undirected graph, in its essence, is a set of nodes connected by edges, where each edge signifies a two-way relationship.

This article will explore the characteristics, applications, advantages, & drawbacks of undirected graphs, giving you a comprehensive understanding of their role & importance.

## Characteristics of an Undirected Graph:

When we talk about undirected graphs, we're diving into the basics of graph theory, a fundamental part of computer science. Imagine a group of islands (which we'll call nodes or vertices) connected by bridges (edges). In an undirected graph, these bridges don't care about direction; you can go back & forth between any two islands without any restrictions.

### Symmetry in Connections

In an undirected graph, if there's a path from node A to node B, then there's automatically a path from B to A. It's like a two-way street between friends; if you can call them, they can call you.

### Edge Representation

We use pairs to represent edges, like (A, B), but remember, (A, B) is the same as (B, A) here. It doesn't matter which one you mention first; the connection remains the same.

If you're drawing or visualizing an undirected graph, you won't see any arrows on the lines connecting the nodes. It's all open roads without any 'one-way' signs.

### Degree of a Node

This simply tells you how many friends (or connections) a node has. For example, if node A is connected to three other nodes, its degree is 3.

### Loop-Free

Usually, undirected graphs don't have loops, meaning a node can't have a direct connection back to itself. It keeps things simple & avoids any 'talking to oneself' scenario.

Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job
Bootcamp

## Applications of Undirected Graph

Undirected graphs aren't just theoretical concepts; they're all around us, solving real-world problems & making life easier in ways we often don't even notice. Let's explore some places where undirected graphs play a key role:

### Social Networks

Think of your circle of friends on social media. In an undirected graph, each person is a node, & the friendship between any two people is an edge. It perfectly models how friendships work; if you're friends with someone, they're friends with you too.

### Computer Network

In the setup of computers connected over a network, undirected graphs come in handy. Each computer or device is a node, & the connections between them, regardless of data flow direction, can be represented as edges.

### Transportation Networks

The roads & railways connecting different cities can be modeled as undirected graphs. Here, cities are nodes & the roads/railways are edges. It simplifies the analysis of travel routes, distances, & connectivity.

### Electrical Circuits

In the design of electrical circuits, components are nodes & the wires connecting them are edges. This application of undirected graphs helps in analyzing circuit connectivity & performance.

### Biological Networks

In biology, undirected graphs can model networks like neural networks in the brain or protein interaction networks in cells. Each neuron or protein is a node, with connections as edges, helping scientists understand complex biological systems.

Undirected graphs have some cool perks that make them really useful in certain situations. Here's why they can be a great choice:

### Simplicity

The biggest win for undirected graphs is their simplicity. Without worrying about direction, they're easier to understand & work with, making them perfect for beginners or when you need a straightforward model.

### Flexible Representation

They can represent many real-world scenarios where relationships are mutual, like friendships in social networks or connections in computer networks, making them super versatile.

### Efficient for Certain Algorithms

Some problems are naturally easier to solve with undirected graphs. For instance, finding the shortest path or connecting components can be more straightforward because you don't have to worry about the direction of connections.

### Less Data to Manage

Since there's no need to keep track of direction, undirected graphs can be simpler to store & manage, saving memory & computational resources, especially in large-scale applications.

### Good for Symmetrical Relationships

In cases where relationships are inherently bidirectional, like in an electrical grid or a road network, undirected graphs provide a natural & efficient modeling approach.

While undirected graphs are super useful, they're not perfect for every situation. Here are some challenges you might face with them:

### Not Suitable for Directional Data

When you need to show a one-way relationship, like in a Twitter follow or a food chain, undirected graphs fall short. They can't capture the direction of the relationship.

### Limited Complexity Representation

For more complex scenarios, where interactions are not just two-way, undirected graphs might oversimplify things, missing out on crucial details.

### Inefficiency in Certain Algorithms

While they're great for some problems, undirected graphs might not be the best choice for algorithms that require directional data, making those algorithms less efficient or even unusable.

### Ambiguity in Relationships

Sometimes, the lack of direction can make it hard to understand the nature of the relationship between nodes, leading to potential misunderstandings in the data representation.

### Oversimplification

In trying to keep things simple, undirected graphs might gloss over important nuances of the relationships, leading to a less accurate or informative model.

Note -: Despite these drawbacks, undirected graphs are still incredibly valuable in the right contexts, offering a straightforward way to model and understand complex systems.

### Can undirected graphs be used to represent all types of networks?

No, undirected graphs are best for networks with bidirectional relationships. For one-way relationships, like following someone on social media, directed graphs are more suitable.

### How do you find the shortest path in an undirected graph?

One common method is using Dijkstra's algorithm, which efficiently finds the shortest path between nodes in a graph with non-negative edge weights.

### Are undirected graphs suitable for modeling traffic flow?

They can model the connections between locations, but for actual traffic flow that includes direction & volume, directed graphs offer a more accurate representation.

## Conclusion

In this article, we've taken a close look at undirected graphs, exploring their characteristics, applications, advantages, & some challenges. Starting with a basic understanding, we've seen how undirected graphs play a crucial role in various fields, from social networks to computer networks, thanks to their simplicity & flexibility. While they offer several benefits like ease of use & efficient representation for mutual relationships, they're not without their limitations, particularly when it comes to directional data & complex relationship modeling.

You can refer to our guided paths on the Coding Ninjas. You can check our course to learn more about DSADBMSCompetitive ProgrammingPythonJavaJavaScript, etc. Also, check out some of the Guided Paths on topics such as Data Structure and AlgorithmsCompetitive ProgrammingOperating SystemsComputer Networks, DBMSSystem Design, etc., as well as some Contests, Test Series, and Interview Experiences curated by top Industry Experts.

Topics covered
1.
Introduction
2.
Characteristics of an Undirected Graph:
2.1.
Symmetry in Connections
2.2.
Edge Representation
2.3.
2.4.
Degree of a Node
2.5.
Loop-Free
3.
Applications of Undirected Graph
3.1.
Social Networks
3.2.
Computer Network
3.3.
Transportation Networks
3.4.
Electrical Circuits
3.5.
Biological Networks
4.
4.1.
Simplicity
4.2.
Flexible Representation
4.3.
Efficient for Certain Algorithms
4.4.
Less Data to Manage
4.5.
Good for Symmetrical Relationships
5.
5.1.
Not Suitable for Directional Data
5.2.
Limited Complexity Representation
5.3.
Inefficiency in Certain Algorithms
5.4.
Ambiguity in Relationships
5.5.
Oversimplification
6.