This Java program is to check whether graph is Biconnected. In graph theory, a biconnected graph is a connected and “nonseparable” graph, meaning that if any vertex were to be removed, the graph will remain connected. Therefore a biconnected graph has no articulation vertices.
Here is the source code of the Java program to check whether graph is biconnected. The Java program is successfully compiled and run on a Linux system. The program output is also shown below.
import java.util.HashSet;
import java.util.InputMismatchException;
import java.util.LinkedList;
import java.util.Queue;
import java.util.Scanner;
import java.util.Set;
import java.util.Stack;
public class BiconnectedGraph
{
private Queue<Integer> queue;
private Stack<Integer> stack;
private int numberOfNodes;
private Set<Integer> articulationPoints;
private int[] parent;
private int[] visited;
private int[][] adjacencyMatrix;
public BiconnectedGraph(int numberOfNodes)
{
queue = new LinkedList<Integer>();
this.numberOfNodes = numberOfNodes;
this.stack = new Stack<Integer>();
this.articulationPoints = new HashSet<Integer>();
this.parent = new int[numberOfNodes + 1];
this.visited = new int[numberOfNodes + 1];
this.adjacencyMatrix = new int[numberOfNodes + 1][numberOfNodes + 1];
}
private boolean bfs(int adjacency_matrix[][], int source)
{
boolean connected = true;
int number_of_nodes = adjacency_matrix.length - 1;
int[] visited = new int[number_of_nodes + 1];
int i, element;
visited = 1;
queue.add(source);
while (!queue.isEmpty())
{
element = queue.remove();
i = element;
while (i <= number_of_nodes)
{
if (adjacency_matrix[element][i] == 1 && visited[i] == 0)
{
queue.add(i);
visited[i] = 1;
}
i++;
}
}
for (int vertex = 1; vertex <= number_of_nodes; vertex++)
{
if (visited[vertex] == 1)
{
continue;
}else
{
connected = false;
break;
}
}
return connected;
}
private int numberOfArticulationPoint(int adjacencyMatrix[][], int source)
{
int children = 0;
int element, destination;
stack.push(source);
visited = 1;
for (int sourceVertex = 1; sourceVertex <= numberOfNodes; sourceVertex++)
{
for (int destinationVertex = 1; destinationVertex <= numberOfNodes; destinationVertex++)
{
this.adjacencyMatrix[sourceVertex][destinationVertex]
= adjacencyMatrix[sourceVertex][destinationVertex];
}
}
while (!stack.isEmpty())
{
element = stack.peek();
destination = element;
while (destination <= numberOfNodes)
{
if (this.adjacencyMatrix[element][destination] == 1 && visited[destination] == 0)
{
stack.push(destination);
visited[destination] = 1;
parent[destination] = element;
if (element == source)
{
children++;
}
if (!isLeaf(this.adjacencyMatrix, destination))
{
if (children > 1)
{
articulationPoints.add(source);
}
if(isArticulationPoint(this.adjacencyMatrix, destination))
{
articulationPoints.add(destination);
}
}
element = destination;
destination = 1;
continue;
}
destination++;
}
stack.pop();
}
return articulationPoints.size();
}
public boolean isArticulationPoint(int adjacencyMatrix[][], int root)
{
int explored[] = new int[numberOfNodes + 1];
Stack<Integer> stack = new Stack<Integer>();
stack.push(root);
int element = 0,destination = 0;
while(!stack.isEmpty())
{
element = stack.peek();
destination = 1;
while (destination <= numberOfNodes)
{
if ( element != root)
{
if (adjacencyMatrix[element][destination] == 1 && visited[destination] == 1)
{
if (this.stack.contains(destination))
{
if (destination <= parent[root])
{
return false;
}
return true;
}
}
}
if ((adjacencyMatrix[element][destination] == 1 && explored[destination] == 0 )
&& visited[destination] == 0)
{
stack.push(destination);
explored[destination] = 1;
adjacencyMatrix[destination][element] = 0;
element = destination;
destination = 1;
continue;
}
destination++;
}
stack.pop();
}
return true;
}
private boolean isLeaf(int adjacencyMatrix[][], int node)
{
boolean isLeaf = true;
for (int vertex = 1; vertex <= numberOfNodes; vertex++)
{
if (adjacencyMatrix[node][vertex] == 1 && visited[vertex] == 1)
{
isLeaf = true;
}else if (adjacencyMatrix[node][vertex] == 1 && visited[vertex] == 0)
{
isLeaf = false;
break;
}
}
return isLeaf;
}
public boolean isBiconnected(int adjacencyMatrix[][], int source)
{
boolean biconnected = false;
if (bfs(adjacencyMatrix, source) && numberOfArticulationPoint(adjacencyMatrix, source) == 0)
{
biconnected = true;
}
return biconnected;
}
public static void main(String... arg)
{
int number_of_nodes, source;
Scanner scanner = null;
try
{
System.out.println("Enter the number of nodes in the graph");
scanner = new Scanner(System.in);
number_of_nodes = scanner.nextInt();
int adjacency_matrix[][] = new int[number_of_nodes + 1][number_of_nodes + 1];
System.out.println("Enter the adjacency matrix");
for (int i = 1; i <= number_of_nodes; i++)
for (int j = 1; j <= number_of_nodes; j++)
adjacency_matrix[i][j] = scanner.nextInt();
System.out.println("Enter the source for the graph");
source = scanner.nextInt();
BiconnectedGraph biconnectedGraph = new BiconnectedGraph(number_of_nodes);
if (biconnectedGraph.isBiconnected(adjacency_matrix, source))
{
System.out.println("The Given Graph is BiConnected");
}else
{
System.out.println("The Given Graph is Not BiConnected");
}
} catch (InputMismatchException inputMismatch)
{
System.out.println("Wrong Input format");
}
scanner.close();
}
}
$javac BiConnectedGraph.java $java BiConnectedGraph Enter the number of nodes in the graph 5 Enter the adjacency matrix 0 1 1 1 0 1 0 1 0 0 1 1 0 0 1 1 0 0 0 1 0 0 1 1 0 Enter the source for the graph 1 The Given Graph is BiConnected
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