Forward vs Reverse PageRank
Deterministic toy graph from skill + activity
Speed 1.2x Teleport gamma 0.00
Ready.
Expected loss edges for a toy PageRank graph Edges point from loser to winner; nodes outline by forward vs reverse dominance.
Expected losses (loser -> winner) Forward > Reverse Reverse > Forward
Forward PageRank
Volume-weighted wins
Reverse PageRank
Who loses to winners
Log Ratio
Forward / Reverse dominance