What Are the Operations on Graph in Data Structure?


Larry Thompson

In this tutorial, we will explore the various operations that can be performed on a graph in data structures. Graphs are powerful data structures that represent relationships between objects.

They consist of vertices (also known as nodes) and edges, which connect these vertices. Understanding the operations on graphs is essential for solving complex problems efficiently.

Graph Operations

1. Insertion of Vertices and Edges

To create a graph, we first need to insert vertices and edges. Vertices represent objects or entities, and edges define the relationships between these entities.

To insert a vertex, we simply add it to the graph. For example:

    Graph G;

Similarly, to insert an edge between two vertices, we use the insertEdge() function:

    G.insertEdge("A", "B");

2. Deletion of Vertices and Edges

If we want to remove a vertex from the graph, along with all its incident edges, we can use the removeVertex() function:


To delete an edge between two vertices, we can use the removeEdge() function:

    G.removeEdge("A", "B");

3. Traversal of Graphs

To explore all the vertices in a graph systematically, we can use various traversal algorithms like Depth-First Search (DFS) or Breadth-First Search (BFS). These algorithms visit each vertex and perform specific actions.

DFS: In DFS, we start from a specific vertex and explore as far as possible before backtracking. This can be implemented using recursion or a stack data structure.


BFS: In BFS, we explore all the vertices at the current depth level before moving to the next level. This can be implemented using a queue data structure.BFS(“A”);

4. Searching in Graphs

To search for a specific vertex or edge in a graph, we can use searching algorithms like Depth-First Search (DFS) or Breadth-First Search (BFS). These algorithms help us determine if a particular element is present in the graph.

DFS Search: We can modify the DFS algorithm to search for a given vertex or edge.DFSSearch(“A”);

BFS Search: Similarly, we can modify the BFS algorithm to search for a given vertex or edge.BFSSearch(“A”);

5. Checking for Connectivity

We often need to check if all the vertices in a graph are connected to each other or if there are disconnected components. One way to achieve this is by performing traversal algorithms and checking if all vertices have been visited.checkConnectivity();

6. Finding Shortest Path

If we want to find the shortest path between two vertices in a graph, we can use algorithms like Dijkstra’s algorithm or the Breadth-First Search (BFS) algorithm. These algorithms help us determine the shortest path based on edge weights or number of edges.findShortestPath(“A”, “B”);


Understanding the different operations on graphs is crucial for effectively solving problems that involve relationships between objects. By using these operations, we can manipulate graphs, search for specific elements, check connectivity, and find the shortest path. Remember that choosing the right algorithm and implementing it correctly is essential for optimal performance.

Now that you have a better understanding of graph operations, you can apply this knowledge to solve complex problems in data structures and algorithms.

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