Undirected and Directed graphs are fundamental concepts in graph theory, it is basically a branch of mathematics that deals with the study of graphs and it consists of a set of vertices(nodes) connected by edges.
In this article, we will learn the differences between an undirected and a directed graph.,
Undirected Graphs
An undirected graph is a graph where the edges do not have a specific direction and it is bidirectional in nature it does not have a parent-child relation concept as there is no particular direction.
Example of an undirected graph
Characteristics of Undirected Graphs:
- Symmetry:
Symmetry is present in the undirected graph as each edge is bidirectional, so it’s not like anyone’s the boss. The graph is connected, so you can always find a way to get to any node you want to, and the degree of each vertex tells you how popular that node is in the graph.
- Connectivity:
There is just one method to get from one vertex to another in an undirected graph which indicates that the graph is linked.
Algorithms for Undirected Graphs
Directed Graphs
A directed graph is a graph that is unidirectional in this the edges have a specific direction and the edges have directions specified with them also a directed graph can contain cycles.
Example of a directed graph
Characteristics of Directed Graphs
- Asymmetry:
Asymmetry is present in the directed graph as the edges are all one-way, so it’s not like everyone is on equal footing and the graph might not be connected, which means there might be some nodes that are totally out of the loop.
- Connectivity:
In a directed graph, there may be more than one way to traverse from one vertex to another which means that the graph may not be connected.
Algorithms for Directed Graphs:
Differences between Undirected Graph & Directed Graph:
| S.N | Undirected Graph | Directed Graph |
|---|---|---|
| 1 | It is simple to understand and manipulate. | It provides a clear representation of relationships with direction. |
| 2 | It has the symmetry of a relationship. | It offers efficient traversal in the specified direction. |
| 3 | It requires less memory hence memory efficient. | It is suitable for modeling processes or workflows. |
| 4 | It provides limited modeling capability for directed relationships | It is complex as compared to undirected graphs. |
| 5 | Inefficient traversal without additional checks. | It has a lack of symmetry, unlike an undirected graph. |
| 6 | It is difficult to represent specific scenarios. | It may require increased memory usage compared to undirected graphs. |
Applications of Undirected Graph:
- Social Networks: In social networks, you can use undirected graphs to model them. You see, each vertex in the graph represents an individual, and each edge represents a friendship or a connection between those individuals.
- Traffic flow optimization: Undirected graphs are also used to model road networks and each vertex will represent an intersection or an endpoint, and each edge represents a road.
Applications of Directed Graph:
- Computer networks: Directed graphs are basically a way to represent the internet as a bunch of devices connected.
- Project management: Directed graph in project management the vertices will represent different tasks and the edges represent the dependencies between them. So basically, it’s a way to make sure everything gets done in the right order.