How to compute personalized PageRank for each node in a web graph with 6 nodes and 10 edges, considering source = P3 and d = 0.85?

Question

I have a web graph with six nodes (P1, P2, P3, P4, P5, and P6) and 10 edges connecting them. I am trying to calculate the personalized PageRank for each node for the first two iterations in the graph. The personalized PageRank is computed based on a specific source node, in this case, P3.

In personalized PageRank:

• The teleportation probability (d) is 0.85.
• Instead of assigning equal PageRank values to all nodes initially, the source node (P3) is assigned a rank of 1, and all other nodes are assigned a rank of 0.
• When the random walk lands on a node, with probability d, the walk jumps back to the source node (P3).

Could anyone assist me in calculating personalized PageRank for a web graph?