# Biconnected Components

The concept of biconnected components is based on the concept of the disc and low values algorithms. This article aims to focus on the algorithm developed by Robert Tarjan and John Hopcroft's view of biconnected components in a graph data structure. The maximal sub-graph is known to be the concept behind Biconnected Components.

Biconnected components are a part of the graph data structure created. This article will dive deep into finding the biconnected components in a given graph data structure. We will look for the articulation points using the depth-first search and store the visited edges in a stack. When the articulation points are found, the edges stored in the stack data structure will form an entity of biconnected components.

C++ code

Output:

```4--2 3--4 3--1 2--3 1--2
8--9
8--5 7--8 5--7
6--0 5--6 1--5 0--1
10--11
Above are the edges of 5 of the biconnected components in the graph data structure.
```

Java Script Code

Output:

```4--2 3--4 3--1 2--3 1--2
8--9
8--5 7--8 5--7
6--0 5--6 1--5 0--1
10--11 Above are five biconnected components in the graph
```

Java Code

Output:

```4--2 3--4 3--1 2--3 1--2
8--9
8--5 7--8 5--7
6--0 5--6 1--5 0--1
10--11 Above are five biconnected components in the graph
```

Python Code

Output:

```(4, 2) (3, 4) (3, 1) (2, 3) (1, 2)
(8, 9)
(8, 5) (7, 8) (5, 7)
(6, 0) (5, 6) (1, 5) (0, 1)
(10, 11)
Above are the edges of  5 of the biconnected components in the graph data structure.
```