I have a network graph with nodes and edges and i managed to construct an adjacent matrix of my graph.
sample adjacent matrix with edge weight
Nodes -> {A, B, C, D}
Edges -> {[A->B = 2] , [A->D = 5] , [C->A = 1] , [C->B = 4] , [D->B = ] , [D->C = 2]}
my adjacent network is like this
0 2 0 2
0 0 0 0
4 4 0 0
0 6 6 0
so i want to change the adjacent matrix to be like this with labels of the nodes and average of each column by considering non zero cells
A B C D
A 0 2 0 2
B 0 0 0 0
C 4 4 0 0
D 0 6 6 0
X 4 4 6 2 <- Mean of non zero column
here is my the code i used to create adjacent matrix, Node.java
public class Node
{
public char label;
public Node(char l)
{
this.label=l;
}
}
Graph.java
public class Graph
{
public ArrayList nodes=new ArrayList();
public double[][] adjacentMatrix;
int size;
public void addNode(Node n)
{
nodes.add(n);
}
public void addEdge(Node start,Node end,int weight)
{
if(adjacentMatrix==null)
{
size=nodes.size();
adjacentMatrix=new double[size][size];
}
int startIndex=nodes.indexOf(start);
int endIndex=nodes.indexOf(end);
adjacentMatrix[startIndex][endIndex]=weight;
}
public static void printAdjacentMatrix(double matrix[][]) {
for (int row = 0; row < matrix.length; row++) {
for (int column = 0; column < matrix[row].length; column++) {
System.out.print(matrix[row][column] + " ");
}
System.out.println();
}
}
}
Main.java
public class Main {
public static void main(String[] args) {
// TODO Auto-generated method stub
//Defining nodes
Node nA=new Node('A');
Node nB=new Node('B');
Node nC=new Node('C');
Node nD=new Node('D');
//Creating adjacent matrix
Graph g=new Graph();
g.addNode(nA);
g.addNode(nB);
g.addNode(nC);
g.addNode(nD);
g.addEdge(nA, nB, 2);
g.addEdge(nA, nD, 2);
g.addEdge(nC, nA, 4);
g.addEdge(nC, nB, 4);
g.addEdge(nD, nB, 6);
g.addEdge(nD, nC, 6);
g.printAdjacentMatrix(g.adjacentMatrix);
}
}
so i ask for help to display the second matrix with average and labels...Thank you in advance
Not a very nice solution but that will do.
public class Graph {
public ArrayList nodes = new ArrayList();
public int[][] adjacentMatrix;
int size;
public void addNode(Node n) {
nodes.add(n);
}
public void addEdge(Node start, Node end, int weight) {
if (adjacentMatrix == null) {
size = nodes.size();
adjacentMatrix = new int[size][size];
}
int startIndex = nodes.indexOf(start);
int endIndex = nodes.indexOf(end);
adjacentMatrix[startIndex][endIndex] = weight;
}
public static void printAdjacentMatrix(int matrix[][]) {
for (int row = 0; row < matrix.length; row++) {
for (int column = 0; column < matrix[row].length; column++) {
System.out.print(matrix[row][column] + " ");
}
System.out.println();
}
}
public static void convertMatrix(int matrix[][]) {
int row = matrix.length + 2;
int column = matrix[0].length + 1;
String newMatrix[][] = new String[row][column];
initializeFirstRow(newMatrix);
initializeFirstColumn(newMatrix);
copyMatrix(matrix, newMatrix);
addMean(matrix, newMatrix);
printAdjacentMatrix(newMatrix);
}
private static void initializeFirstColumn(String[][] newMatrix) {
newMatrix[1][0] = "A";
newMatrix[2][0] = "B";
newMatrix[3][0] = "C";
newMatrix[4][0] = "D";
newMatrix[5][0] = "X";
}
private static void printAdjacentMatrix(String[][] newMatrix) {
for (int row = 0; row < newMatrix.length; row++) {
for (int column = 0; column < newMatrix[row].length; column++) {
System.out.print(newMatrix[row][column] + " ");
}
System.out.println();
}
}
private static void addMean(int[][] matrix, String[][] newMatrix) {
int mean = 0;
int sum = 0;
int divident = 0;
for (int j = 0; j < matrix[0].length; j++) {
sum = 0;
divident = 0;
for (int i = 0; i < matrix.length; i++) {
if (matrix[i][j] != 0) {
sum += matrix[i][j];
divident++;
}
}
if (sum != 0) {
mean = sum / divident;
}
newMatrix[5][j + 1] = "" + mean;
}
}
private static void copyMatrix(int[][] matrix, String[][] newMatrix) {
for (int i = 0; i < matrix.length; i++) {
for (int j = 0; j < matrix[0].length; j++) {
newMatrix[i + 1][j + 1] = "" + matrix[i][j];
}
}
}
private static void initializeFirstRow(String[][] newMatrix) {
newMatrix[0][0] = " ";
newMatrix[0][1] = "A";
newMatrix[0][2] = "B";
newMatrix[0][3] = "C";
newMatrix[0][4] = "D";
}
}
Also add following line in Main.java
g.convertMatrix(g.adjacentMatrix);