This Java program is to find number of articulation points in graph. A vertex in an undirected connected graph is an articulation point (or cut vertex) iff removing it (and edges through it) disconnects the graph. Articulation points represent vulnerabilities in a connected network – single points whose failure would split the network into 2 or more disconnected components.
Here is the source code of the Java program to find number of articulation points in graph. 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 NumberOfArticulationPoints
{
private Stack<Integer> stack;
private int numberOfNodes;
private Set<Integer> articulationPoints;
private int[] parent;
private int[] visited;
private int[][] adjacencyMatrix;
public NumberOfArticulationPoints(int numberOfNodes)
{
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];
}
public 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();
}
private 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 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();
NumberOfArticulationPoints articulationPoints = new NumberOfArticulationPoints(number_of_nodes);
int num = articulationPoints.numberOfArticulationPoint(adjacency_matrix, source);
System.out.println("The number is " + num);
} catch (InputMismatchException inputMismatch)
{
System.out.println("Wrong Input format");
}
scanner.close();
}
}
$javac NumberOfArticulationPoints.java $java NumberOfArticulationPoints 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
Related posts:
StringBuilder vs StringBuffer in Java
Java Program to Implement LinkedBlockingDeque API
Tránh lỗi NullPointerException trong Java như thế nào?
Hashtable trong java
Java Program to Implement the Checksum Method for Small String Messages and Detect
New in Spring Security OAuth2 – Verify Claims
Java Program to Check whether Directed Graph is Connected using BFS
Guide to ThreadLocalRandom in Java
Java Program to Create a Balanced Binary Tree of the Incoming Data
Cachable Static Assets with Spring MVC
Spring Boot - Eureka Server
Java – String to Reader
The SpringJUnitConfig and SpringJUnitWebConfig Annotations in Spring 5
Java Program to Implement Dijkstra’s Algorithm using Queue
Một số ký tự đặc biệt trong Java
Spring Boot - Flyway Database
Weak References in Java
Java Program to Implement First Fit Decreasing for 1-D Objects and M Bins
Merging Streams in Java
Java Program to Implement Counting Sort
Toán tử trong java
Examine the internal DNS cache
Introduction to the Functional Web Framework in Spring 5
Xử lý ngoại lệ trong Java (Exception Handling)
Auditing with JPA, Hibernate, and Spring Data JPA
Xây dựng ứng dụng Client-Server với Socket trong Java
Java Program to Implement Graph Coloring Algorithm
Hướng dẫn Java Design Pattern – Composite
New Features in Java 11
Spring WebClient Requests with Parameters
Java Program to Implement Gauss Jordan Elimination
Java Program for Topological Sorting in Graphs