Suppose you are told that the maximum eigenvalue of matrix A is dmax=3. Write a java program to compute each node's eigenvector centrality based on the equation c,(v,) = £, Aj¿c, (v) Adjacency matrix ( for A) Adjacency Matrix 1 4 6. 7 1. 1. 1 1. 1 1 1 1. 1 1 4 1 5. 1 1 7 1 1 1 1. 1. 1.

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**Java Program to Compute Eigenvector Centrality**

Suppose you are told that the maximum eigenvalue of matrix \( A \) is \( \lambda_{\text{max}} = 3 \). Write a Java program to compute each node’s eigenvector centrality based on the equation:

\[ c_e(v_i) = \frac{1}{\lambda} \sum_j A_{ij} c_e(v_j) \]

**Adjacency Matrix (for \( A \))**

|   | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 |
| 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 |
| 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 5 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 6 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
| 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 8 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 |

**Explanation:**

This table shows the adjacency matrix for the graph represented by matrix \( A \). Each cell \( A_{ij} \) contains a 1 if there is a direct connection from node \( i \) to node \( j \); otherwise, it contains a 0. It is essential to use this matrix for calculating the eigenvector central
Transcribed Image Text:**Java Program to Compute Eigenvector Centrality** Suppose you are told that the maximum eigenvalue of matrix \( A \) is \( \lambda_{\text{max}} = 3 \). Write a Java program to compute each node’s eigenvector centrality based on the equation: \[ c_e(v_i) = \frac{1}{\lambda} \sum_j A_{ij} c_e(v_j) \] **Adjacency Matrix (for \( A \))** | | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |---|---|---|---|---|---|---|---|---|---| | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | | 5 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | | 6 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | | 8 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | **Explanation:** This table shows the adjacency matrix for the graph represented by matrix \( A \). Each cell \( A_{ij} \) contains a 1 if there is a direct connection from node \( i \) to node \( j \); otherwise, it contains a 0. It is essential to use this matrix for calculating the eigenvector central
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