The algorithm is designed to work on any data similar to the provided, as long as it's in the .txt format. To use your own data, you need to modify the file path of the "data.txt" file in the code.

Diagonals are zero because we do not consider self-links. In the end I demonstrate how we can make the PageRank algorithm into an eigenvalue problem and therefore find R (a column vector of PageRanks) ...

2. Initialize PageRank scores. 3. Use an iterative algorithm with damping factor. 4. Define convergence criteria. 5. Normalize scores to probabilities. 6. Write Python code for calculations.